{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.image as mpimg \n",
    "from matplotlib.lines import Line2D\n",
    "from matplotlib.patches import Ellipse\n",
    "from matplotlib.offsetbox import (AnchoredOffsetbox, AuxTransformBox, DrawingArea, TextArea, VPacker)\n",
    "from scipy.optimize import curve_fit\n",
    "import scipy.interpolate as interpolate\n",
    "from heapq import nsmallest, nlargest\n",
    "from statsmodels.stats.proportion import proportion_confint\n",
    "import scipy.stats\n",
    "import math\n",
    "import os\n",
    "import shutil\n",
    "%matplotlib notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Rb/a =  2.3782893465169646\n"
     ]
    }
   ],
   "source": [
    "lattice_spacing = 4.6\n",
    "C6 = 858386.0 # C_6 coefficient in MHz*um^6\n",
    "A = 1\n",
    "Rabi_1 = 1.4 # Rabi frequency in MHz\n",
    "f0=-0.08\n",
    "Rabi = Rabi_1*np.sqrt(A)\n",
    "Delta_f = 12 # 11.0 # Final detuning of the sweep in MHz. If not using a sweep, set to equal or less than the Rabi frequency\n",
    "diffraction_unit = 0.8425 # Given by the SLM and magnification optics\n",
    "lattice_spacing_um = lattice_spacing*diffraction_unit\n",
    "\n",
    "radius = ((C6/Rabi)**(1.0/6)/(lattice_spacing_um)) # Unit disk radius in nearest-neighbor distance units\n",
    "# radius = ((C6/np.max(np.array([Rabi, Delta_f])))**(1.0/6)/(lattice_spacing_um)) # Unit disk radius in nearest-neighbor distance units\n",
    "print('Rb/a = ', radius, )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Load data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "main_foldername = 'Z_parity_nohole'\n",
    "seqs_foldername = main_foldername+'/seqs'\n",
    "\n",
    "seqno_first = 34\n",
    "seqs_all = os.listdir(seqs_foldername)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 (451, 4, 3000, 36)\n"
     ]
    }
   ],
   "source": [
    "datasummary_first = np.load(main_foldername+\"/seq_%.3d_datasummary.npz\"%seqno_first, allow_pickle=True) \n",
    "data_first = datasummary_first[\"data\"][()]\n",
    "parameter_sweep_data_first = np.load(main_foldername+\"/seq_%.3d_parameter_sweep_data.npz\"%seqno_first)\n",
    "params = parameter_sweep_data_first[\"params\"]\n",
    "num_params=len(params)\n",
    "\n",
    "#### Extract trap positions and rows + columns (where relevant)\n",
    "trap_positions = np.copy(data_first[\"trap_positions\"])\n",
    "num_traps = len(trap_positions)\n",
    "num_cols = len(np.unique(trap_positions[:, 0]))\n",
    "num_rows = len(np.unique(trap_positions[:, 1]))\n",
    "    \n",
    "sorted_row_pos = sorted(np.unique(trap_positions[:, 1]))\n",
    "sorted_col_pos = sorted(np.unique(trap_positions[:, 0]))\n",
    "row_spacing = sorted_row_pos[1] - sorted_row_pos[0] if num_rows > 1 else 5\n",
    "col_spacing = sorted_col_pos[1] - sorted_col_pos[0] if num_cols > 1 else 5\n",
    "\n",
    "col_row_indices_to_trap_index = {}\n",
    "for i in range(len(trap_positions)):\n",
    "    col, row = trap_positions[i]\n",
    "    col_index = np.where(sorted_col_pos == col)[0][0]\n",
    "    row_index = np.where(sorted_row_pos == row)[0][0]\n",
    "    col_row_indices_to_trap_index[(col_index, row_index)] = i\n",
    "\n",
    "# Atoms present is a 3D, boolean-valued array.\n",
    "# First index: which trap in the array are we talking about?\n",
    "# Second index: which image in the experimental sequence are we looking at? (ie., 2 or 3 images per sequence is usual)\n",
    "# Third index: which repetition of the experimental sequence are we looking at?\n",
    "# Value: binary --> True if the atom is present, False if atom is absent.\n",
    "    \n",
    "atoms_present_first = data_first[\"atoms_present\"]\n",
    "\n",
    "num_repetitions_per_seq = atoms_present_first.shape[2]\n",
    "num_images_per_sequence = atoms_present_first.shape[1]\n",
    "\n",
    "### Target rearrangement pattern\n",
    "\n",
    "targets_full = np.zeros(num_traps, dtype=np.bool)\n",
    "targets_full_2D = np.loadtxt(main_foldername+\"/seq_%.3d_targetarrangement.txt\" %seqno_first, dtype=bool).T[::-1, ::-1]\n",
    "target_col_indices, target_row_indices = np.where(targets_full_2D)\n",
    "\n",
    "for i in range(len(target_col_indices)):\n",
    "    target_col_index, target_row_index = target_col_indices[i], target_row_indices[i]\n",
    "    target_trap_index = col_row_indices_to_trap_index[(target_col_indices[i], target_row_indices[i])]\n",
    "    targets_full[target_trap_index] = True\n",
    "    \n",
    "targets_empty = np.invert(targets_full)\n",
    "target_num_atoms = np.sum(targets_full)\n",
    "\n",
    "### Image index after rearrangement\n",
    "img_index_r = 2\n",
    "\n",
    "atoms_present_per_seq = np.expand_dims(atoms_present_first, axis=3)\n",
    "mean_pops = np.zeros((num_traps,len(seqs_all)))\n",
    "num_loaded_atoms_per_seq = np.zeros((num_repetitions_per_seq,len(seqs_all)))\n",
    "started_with_enough_atoms = np.zeros(len(seqs_all))\n",
    "num_perfect_reps_all_per_seq = np.zeros(len(seqs_all))\n",
    "num_perfect_reps_target_only_per_seq = np.zeros(len(seqs_all))\n",
    "\n",
    "for seq in np.arange(1,len(seqs_all)): \n",
    "    datasummary = np.load(seqs_foldername+\"/\"+seqs_all[seq], allow_pickle=True)\n",
    "    data = datasummary[\"data\"][()]\n",
    "    atoms_present = np.expand_dims(data[\"atoms_present\"], axis=3)\n",
    "    atoms_present_per_seq = np.append(atoms_present_per_seq,atoms_present,axis=3)\n",
    "    mean_pops[:,seq] = np.mean(data[\"atoms_present\"][:, img_index_r, :], axis=-1)\n",
    "    num_perfect_reps_all_per_seq[seq] = np.sum(np.sum(np.logical_xor(targets_full, \n",
    "                                                                     data[\"atoms_present\"][:, img_index_r, :].T), axis=1) == 0)\n",
    "    print(seq, end=\" \")\n",
    "    \n",
    "print(atoms_present_per_seq.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
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       "    var fig = this;\n",
       "\n",
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       "    toolbar.classList = 'mpl-toolbar';\n",
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       "\n",
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       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.one(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img 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\" width=\"700\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Rearrangement fidelities\n",
    "\n",
    "plt.figure(figsize=(7,3))\n",
    "plt.subplot(121)\n",
    "plt.bar(np.arange(len(seqs_all)),np.mean(mean_pops[targets_full],axis=0))\n",
    "plt.ylim(0.975,0.985)\n",
    "plt.xlabel('seq #')\n",
    "plt.ylabel('Target filling')\n",
    "plt.subplot(122)\n",
    "plt.bar(np.arange(len(seqs_all)),100*num_perfect_reps_all_per_seq/num_repetitions_per_seq)\n",
    "plt.xlabel('seq #')\n",
    "plt.ylabel('perfect reps %')\n",
    "\n",
    "plt.subplots_adjust(left=0.1, right=0.95, top=0.95, bottom=0.17, wspace=0.3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "### Relevant parameters\n",
    "\n",
    "lattice_spacing = 4.6\n",
    "dx = 2.3\n",
    "dy = 4\n",
    "\n",
    "Omega = 1.37\n",
    "delta_0 = -0.107\n",
    "\n",
    "\n",
    "delta_Omega = (params - delta_0)/Omega"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "    if (this.ratio !== 1) {\n",
       "        fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n",
       "    }\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    var resizeObserver = new ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    resizeObserver.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.one(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"1000\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,1.8))\n",
    "plt.clf()\n",
    "\n",
    "for i in range(num_images_per_sequence):\n",
    "    plt.subplot(1, num_images_per_sequence, i+1)\n",
    "    plt.scatter(trap_positions[:,0], trap_positions[:,1], c = np.mean(atoms_present_per_seq[:,i,:,0],axis=1), s = 10, marker ='o')\n",
    "    plt.colorbar()\n",
    "#     plt.xlabel('X')\n",
    "#     plt.ylabel('Y')\n",
    "    plt.title(\"Image %d\" %(i+1))\n",
    "    plt.xticks([])\n",
    "    plt.yticks([])\n",
    "\n",
    "plt.subplots_adjust(left=0.02, right=0.95, top=0.88, bottom=0.12, wspace=0.2)    \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Define functions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "### Error Analysis ###\n",
    "\n",
    "def clopper_pearson_interval(k, n, alpha=0.32):\n",
    "    lo = scipy.stats.beta.ppf(alpha/2, k, n-k+1)\n",
    "    hi = scipy.stats.beta.ppf(1 - alpha/2, k+1, n-k)\n",
    "\n",
    "    if math.isnan(lo):\n",
    "        lo = 0.0\n",
    "    if math.isnan(hi):\n",
    "        hi = 1.0\n",
    "    return lo, hi\n",
    "\n",
    "def clopper_pearson_errors(k, n, alpha=0.32):\n",
    "    lo,hi = clopper_pearson_interval(k, n, alpha)\n",
    "\n",
    "    avg = (1.0 * k) / n\n",
    "\n",
    "    return [avg - lo, hi - avg]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "### Parity on single loops\n",
    "\n",
    "def parity(loop,ryd_this_param,relevant_reps_per_param):       ### measures parity on a single loop\n",
    "    num_params = ryd_this_param.shape[1]\n",
    "    parity_loop = np.zeros(num_params)\n",
    "    parity_err = np.zeros((num_params,2))\n",
    "\n",
    "    for par in np.arange(num_params):\n",
    "        parity_sum = 0\n",
    "        ryd_pop = ryd_this_param[:,par,relevant_reps_per_param[par]]\n",
    "        num_relevant_reps = ryd_pop.shape[1]\n",
    "\n",
    "        avg_parity = np.mean((-1)**np.sum(ryd_pop[loop, :], axis=0))\n",
    "        sum_parity_01 = np.sum(((-1)**np.sum(ryd_pop[loop, :], axis=0)+1)/2)\n",
    "        parity_err_01 = clopper_pearson_errors(sum_parity_01, num_relevant_reps)\n",
    "        parity_err[par,:] = [((parity_err_01[i])*2) for i in [0, 1]]\n",
    "        parity_loop[par] = avg_parity\n",
    "       \n",
    "    return [parity_loop, parity_err]\n",
    "\n",
    "### Parity averaged on many loops of the same size\n",
    "\n",
    "def parity_mean(loops,ryd_this_param,relevant_reps_per_param):      ### measures average parity on all loops of the same size\n",
    "    P_per_param = np.zeros(len(params))\n",
    "    P_err_per_param = np.zeros(len(params))\n",
    "\n",
    "    for par in np.arange(len(params)):\n",
    "        ryd_pop = ryd_this_param[:,par,relevant_reps_per_param[par]]\n",
    "        num_relevant_reps = ryd_pop.shape[1]\n",
    "        P_single_loop_per_rep = np.zeros((num_relevant_reps,len(loops)))\n",
    "\n",
    "        for l in np.arange(len(loops)):\n",
    "            P_single_loop_per_rep[:, l] = (-1)**np.sum(ryd_pop[loops[l], :], axis=0)\n",
    "\n",
    "        P_avg_over_loops_per_param = np.mean(P_single_loop_per_rep, axis=1)\n",
    "        P_per_param[par] = np.mean(P_avg_over_loops_per_param)\n",
    "        P_err_per_param[par] = np.std(P_avg_over_loops_per_param)/np.sqrt(num_relevant_reps)\n",
    "           \n",
    "    return [P_per_param, P_err_per_param]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Kagome analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# define rydberg populations and trap positions after rearrangement\n",
    "\n",
    "post_rearrangement = atoms_present_per_seq[:,-2,:,:]\n",
    "rydberg_populations = post_rearrangement * (1-atoms_present_per_seq[:,-1,:,:])\n",
    "\n",
    "trap_positions_desired = trap_positions[targets_full]\n",
    "trap_positions_desired[:,0] -= np.mean(trap_positions_desired[:,0])\n",
    "trap_positions_desired[:,1] -= np.mean(trap_positions_desired[:,1])\n",
    "\n",
    "rearrangement_desired = post_rearrangement[targets_full]\n",
    "rydberg_populations_desired = rydberg_populations[targets_full]\n",
    "num_traps_target = rydberg_populations_desired.shape[0]\n",
    "\n",
    "repetitions_per_param_per_seq = int(num_repetitions_per_seq / len(params))\n",
    "repetitions_per_param = repetitions_per_param_per_seq*len(seqs_all)\n",
    "num_repetitions = num_repetitions_per_seq*len(seqs_all)\n",
    "\n",
    "ryd_this_param_per_seq = np.zeros((num_traps_target,len(params),repetitions_per_param_per_seq,len(seqs_all)))\n",
    "\n",
    "for ind in range(len(params)):\n",
    "    for seq in np.arange(len(seqs_all)):\n",
    "        \n",
    "        ryd_this_param_per_seq[:,ind,:,seq] = rydberg_populations_desired[:,(ind*repetitions_per_param_per_seq):\n",
    "                                                                          ((ind+1)*repetitions_per_param_per_seq),seq]\n",
    "\n",
    "ryd_this_param = np.reshape(ryd_this_param_per_seq,(num_traps_target,len(params),repetitions_per_param))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(10, 10800)\n",
      "Mean # of defects: 4.32 / 219\t(Percentage: 1.97%)\n",
      "# Repetitions with acceptable errors: 85848 / 108000\t(Percentage: 79.49%)\n"
     ]
    },
    {
     "data": {
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       "                'This browser does not support binary websocket messages. ' +\n",
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       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
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       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
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       "    this.root.appendChild(canvas_div);\n",
       "\n",
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       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
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       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
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       "    if (this.ratio !== 1) {\n",
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       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
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       "\n",
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       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (width != 0 && height != 0) {\n",
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       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
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       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
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       "            canvas_div.style.width = width + 'px';\n",
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       "        canvas_div.focus();\n",
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       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
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       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
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       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
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       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
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       "    buttonGroup.classList = 'mpl-button-group';\n",
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       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.one(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"1000\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "postselect = True\n",
    "\n",
    "rearrangement_defects = 1 - atoms_present_per_seq[targets_full, -2, :, :]\n",
    "num_rearrangement_defects = np.sum(rearrangement_defects, axis=0)\n",
    "rearrangement_defects_empty = atoms_present_per_seq[targets_empty, -2, :, :]\n",
    "num_rearrangement_defects_empty = np.sum(rearrangement_defects_empty, axis=0)\n",
    "\n",
    "# Define number of allowed defects for rearrangement_mask\n",
    "defects_allowed = 6\n",
    "defects_allowed_empty = 3\n",
    "# defects_allowed = 0\n",
    "# defects_allowed_empty = 0\n",
    "\n",
    "# This will be used later to postselect on repetitions based on defect number\n",
    "# rearrangement_mask = (num_rearrangement_defects <= defects_allowed)\n",
    "rearrangement_mask = ((num_rearrangement_defects <= defects_allowed) & \n",
    "                      (num_rearrangement_defects_empty <= defects_allowed_empty))\n",
    "\n",
    "# Reshape rearrangement_mask according to sweep parameters\n",
    "rearrangement_mask_per_param = rearrangement_mask.reshape((num_params, repetitions_per_param_per_seq, len(seqs_all)))\n",
    "rearrangement_mask_per_param = np.reshape(rearrangement_mask_per_param,(num_params,repetitions_per_param))\n",
    "print(rearrangement_mask_per_param.shape)\n",
    "\n",
    "if postselect:\n",
    "    relevant_reps_per_param = rearrangement_mask_per_param\n",
    "else:    \n",
    "    relevant_reps_per_param = np.ones((num_params, repetitions_per_param), dtype=bool)\n",
    "\n",
    "num_good_reps = np.sum(relevant_reps_per_param, axis=-1)\n",
    "    \n",
    "print(\"Mean # of defects: %.2f / %d\\t(Percentage: %.2f%%)\" %(np.mean(num_rearrangement_defects), np.sum(targets_full),\n",
    "                                        100.0*np.mean(num_rearrangement_defects) / np.sum(targets_full)))\n",
    "print(\"# Repetitions with acceptable errors: %d / %d\\t(Percentage: %.2f%%)\" %(np.sum(rearrangement_mask), \n",
    "                                                                              num_repetitions,\n",
    "                                                            100.0*np.sum(rearrangement_mask)/num_repetitions))\n",
    "\n",
    "hist_bins= np.zeros(int(np.amax(num_rearrangement_defects))+2)\n",
    "for i in range(int(np.amax(num_rearrangement_defects))+2):\n",
    "    hist_bins[i]=-0.5+i\n",
    "\n",
    "plt.figure(figsize=(10,3))    \n",
    "\n",
    "plt.subplot(131)\n",
    "plt.hist(num_rearrangement_defects[:,0], bins=hist_bins)\n",
    "plt.xlabel(\"Number of Defects\")\n",
    "plt.ylabel(\"Number of Repetitions\")\n",
    "plt.xlim(-2,30)\n",
    "\n",
    "plt.subplot(132)\n",
    "plt.hist(num_rearrangement_defects_empty[:,0], bins=hist_bins)\n",
    "plt.xlabel(\"Number of Defects\")\n",
    "plt.ylabel(\"Number of Repetitions\")\n",
    "plt.xlim(-2,15)\n",
    "\n",
    "plt.subplot(133)\n",
    "x_axis_array = range(num_params)\n",
    "plt.bar(x_axis_array, num_good_reps)\n",
    "plt.xlabel(\"Parameter Index\")\n",
    "plt.ylabel(\"Number of Repetitions\")\n",
    "\n",
    "plt.subplots_adjust(left=0.07, right=0.95, top=0.95, bottom=0.2, wspace=0.3)  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Correlations and vertex analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "    if (this.ratio !== 1) {\n",
       "        fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n",
       "    }\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    var resizeObserver = new ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    resizeObserver.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.one(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "plt.scatter(trap_positions_desired[:, 0], trap_positions_desired[:, 1])\n",
    "\n",
    "plt.gca().set_aspect(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "    if (this.ratio !== 1) {\n",
       "        fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n",
       "    }\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    var resizeObserver = new ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    resizeObserver.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.one(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
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wJwAF2pz1vSEAAIIIIAAAggggICtAqwrbM0scYVdgAJg2DPI+BHwSYALtU+QNIMAAggggAACCCCAQAYLsK7I4OQTeqAFKAAGOj0MDgFzAlyozVnTEwIIIIAAAggggAACtgqwrrA1s8QVdgEKgGHPIONHwCcBLtQ+QdIMAggggAACCCCAAAIZLMC6IoOTT+iBFqAAGOj0MDgEzAlwoTZnTU8IIIAAAggggAACCNgqwLrC1swSV9gFKACGPYOMHwGfBLhQ+wRJMwgggAACCCCAAAIIZLAA64oMTj6hB1qAAmCg08PgEDAnwIXanDU9IYAAAggggAACCCBgqwDrClszS1xhF6AAGPYMMn4EfBLgQu0TJM0ggAACCCCAAAIIIJDBAqwrMjj5hB5oAQqAgU4Pg0PAnAAXanPW9IQAAggggAACCCCAgK0CrCtszSxxhV2AAmDYM8j4EfBJgAu1T5A0gwACCCCAAAIIIIBABguwrsjg5BN6oAUoAAY6PQwOAXMCXKjNWdMTAggggAACCCCAAAK2CrCusDWzxBV2AQqAYc8g40fAJwEu1D5B0gwCCCCAAAIIIIAAAhkswLoig5NP6IEWoAAY6PQwOATMCXChNmdNTwgggAACCCCAAAII2CrAusLWzBJX2AUoAIY9g4wfAZ8EuFD7BEkzCCCAAAIIIIAAAghksADrigxOPqEHWoACYKDTw+AQMCfAhdqcNT0hgAACCCCAAAIIIGCrAOsKWzNLXGEXoAAY9gwyfgR8EuBC7RMkzSCAAAIIIIAAAgggkMECrCsyOPmEHmgBCoCBTg+DQ8CcABdqc9b0hAACCCCAAAIIIICArQKsK2zNLHGFXYACYNgzyPgR8EmAC7VPkDSDAAIIIIAAAggggEAGC7CuyODkE3qgBSgABjo9DA4BcwJcqM1Z0xMCCCCAAAIIIIAAArYKsK6wNbPEFXYBCoBhzyDjR8AnAS7UPkHSDAIIIIAAAggggAACGSzAuiKDk0/ogRagABjo9DA4BMwJcKE2Z01PCCCAAAIIIIAAAgjYKsC6wtbMElfYBSgAhj2DjB8BnwS4UPsESTMIIIAAAggggAACCGSwAOuKDE4+oQdagAJgoNPD4BAwJ8CF2pw1PSGAAAIIIIAAAgggYKsA6wpbM0tcYRegABj2DDJ+BHwS4ELtEyTNIOCjwMDAgGRlZUnk3z42TVNpFtCc6ab5YwuPAHkLT66iR8pnZTjzxqjtFWBdYW9uiSzcAhQAw50/Ro+AbwJcqH2jpCEEfBOorq6WCxcuyJw5c2T+/Pm+tUtD6RVoaWmRgwcPyqhRo+SWW26R7Ozs9HZI674I9Pf3y+7du6Wzs1NWr14tEydO9KVdGkm/QENDg5w8eVImTJgg5eXl6e+QHhBAYFgB1hVMEASCKUABMJh5YVQIGBfgQm2cnA4RGFKgr69PDh8+LPv373fu/svNzZUPfOADMnv2bO4oC/i80eLf7373O7l69aozUi3cbty40SkGsgVXoKurS/bs2SP19fXOIIuKiuQP/uAPZNKkScEdNCNzPh9PnTolb775pvT29jqfj2vWrJHly5dLTk4OQgggMEICrCtGCJ5uEUggQAGQKYIAAo4AF2omAgLBEWhra5Nf/vKX0t3dPTiosWPHyoc//GGnGMgWTAEtRuzYsUPOnDkzOEAtSNx5550yc+bMYA6aUTkCp0+fdgq3ehdgZNOcae74GXdwJ4kW/fSz8sqVK4ODzM/Pdz4rS0pKgjtwRoaA5QKsKyxPMOGFVoACYGhTx8AR8FeAC7W/nrSGQCoCTU1NsmvXLmlvbx9sRn/advvtt8uYMWNSaZpj0yjQ09Mjr7/+uvOFSmTTYsTatWtlyZIlaeyZplMVOHbsmFRVVcUU3WfMmOGcc3l5eak2z/FpEmhtbXXOOX1UQmQrLi52fno/bdq0NPVKswggkEiAdUUiIf6OwMgIUAAcGXd6RSBwAlyoA5cSBpShAlpE0p8i6nPI9LzUu8q0iDR16lTRuwD1523ckRTMyVFbWytavNWfAUd+AjxlyhQpKCiQdevWcUdSMNMmesdtZWWlc869++67zii1iKTPANQi0qJFiwI68sweln426mMS9O4/Pe/0s1Oftzl9+nTnnNu0aRN3TGf2FCH6ERRgXTGC+HSNwDACFACZHggg4AhwoWYiIBAMgRMnTgzeQaYL20uXLkmkiKQjXLp0qZSVlQVjsIxiUEDv1ty3b5/z/+vPEhsbG6WwsHDwGXJavNWXE1C8Ddak0SKSvmwn8hNSLd52dHQ4RaTIz+03bNjgPBOQLVgCzc3NcvToUWdQ165dE/3/x40b53xRopvewblgwYJgDZrRIJAhAqwrMiTRhBk6AQqAoUsZA0YgPQJcqNPjSqsIeBHQwsPevXudu/50039rYaK0tHSwGX2ZhL5Uggfce5FN776aJ33rrxZrI5v+NFELgNHPbNQXE/BSifTmwmvr586dkyNHjgwepsVbPQ+jf2qvRaVVq1ZRvPWKm8b99UVJeqe0vrwlsl2+fNkp/kWK7PpvLd7qeciGAAJmBVhXmPWmNwTcClAAdCvFfghYLsCF2vIEE14oBLSIdPHixcGx6gJW3yKrdwVGb/o24Llz54YipkwY5Pnz5+XQoUMxoc6aNUu0uKQ/K41s+rNELUhQvA3GrNAikhbcb8yRFmmjX+Sio12xYoXzk2C2YAicPHnSeftv9KZ3++lbnCNfoOjf9NmpK1euDMagGQUCGSTAuiKDkk2ooRKgABiqdDFYBNInwIU6fba0jIAbAX2IfU1NzU1FJC303Xh3mT7nSu8C1IIS28gK6FtjtYikP0GMbJG7NLWYe/jw4ZgBaj61gMs28gJaQNJCUvSmd2mOHz/+prvLRo8e7RRv9dxjG1kBLdjq3X/Rb2yO3KWp+dQ3Okdvevem5pQNAQTMCbCuMGdNTwh4EaAA6EWLfRGwWIALtcXJJbTAC+hCVp8fpz89jGz64g8t8ulPSPWFEvr36DtbJk+eLMuWLQt8bLYPUIsNDQ0NMWFGntN44/PldCe9+0/zqkVCtpET0J+OVlRUxBSR9Kf2q1evdn5CGv18ucgo582bJ3pnJ9vICmhRXZ/VGNk0X+vXr3ee06g/4dbiYHd39+Df9SfA+neKtyObN3rPLAHWFZmVb6INjwAFwPDkipEikFYBLtRp5aVxBIYV0PPvxp/5LlmyxHn5R2Srq6tzXiwRvekbgSMPvIfYvIAWGbSIpD8ljWz67LjoNzVHvxwkso++xEWLhGwjJ6Avj9AiX/SmRSJ9+69ukTfM6rMcI5sWb/XNslqcZxsZAX3On760JXrTF7YsXLhw8D+dPXtWjh8/HrOP/jxYXwrChgACZgRYV5hxphcEvApQAPQqxv4IWCrAhdrSxBJW4AV6enqcIpLeuRLZSkpKZO3atTEvHXC7X+ADtmiAWmTQYkP0pnmLfoGE/s3tfhbRBDoULepVVVXFjHHq1KmyePHimP/mdr9AB2vR4LQoW1lZKVpUj2x6h7QWZfPy8gb/m+6n+W1raxt2P4toCAWBwAmwrghcShgQAo4ABUAmAgIIOAJcqJkICIyMQG1trTQ1NcV0PtSdffHuFNSihRYv2MwKaHFBixHRm96xqXdu3ri5uVPQ7Ogztzevd/bFu1Nw3bp1okV6NrMCXu7s07en79+/P2aAN94paHb09IZAZgmwrsisfBNteAQoAIYnV4wUgbQKcKFOKy+NIxBXIN7PQ4d7tl+iZwXCbEYgmWf76Vtl9Q2l0VvkWYFmRk0vKhDv2X76pu2ZM2fGBdJnBeoz5aJ/5q0/uy8vL4+5Qxfd9Aok82y/I0eOOG/ijmzRzwpM72hpHQEEWFcwBxAIpgAFwGDmhVEhYFyAC7VxcjrMcAEtIiXzdl99s6weF73piwn0BQVsZgS0qKDFhegt0dt9h3tbsD5bji39AlrE02KeFvUim5u3+8Z7W7C+gEeL9WxmBLR4rkX06C3R232He1uwFgPZEEAgfQKsK9JnS8sIpCJAATAVPY5FwCIBLtQWJZNQQiFw/vx5OXToUMxY58yZI/pPoq2mpkYuXLgwuJsuZvXNslrMYEuvQLwiUkFBgeOf6C2j8XI+e/Zs0eIhW/oFTp48KVrMi95WrlwpEyZMGLZzzfnevXtFC0qRTXO+YcMG563ObOkVuHbtmlO4jX4LuuZMc5doi5fzFStWyMSJExMdyt8RQCAFAdYVKeBxKAJpFKAAmEZcmkYgTAJcqMOULcYadoFU7wbr6OhwChLRC2Jd0OrCli29AvHuBlu+fLlMmjQpYcfJ3vWZsGF2SCiQ6t1gLS0tcvjw4Zh+Et31mXBQ7OBKQL8o0eJ5ZNMvPLT4WlhYmPD4ZO/6TNgwOyCAwLACrCuYIAgEU4ACYDDzwqgQMC7Ahdo4OR1mkEBbZ4+8e6VTrnb3SVF+jvS2nZfmd2LvRPL6PLgTJ044L++J3lavXi25o4tj+poytkBKCq6/ITOD2FMO9ca8jS/IlsMHKkULuJGttLRU1N3tTwqvXr0q+/btiyneRp77eGN/5C65FMZzPF1fK1rEiy4irV+/XoqKilx1MtxzH7sHsjnnXCkm3unG3BUMdEr9sdjC64wZM2TBggWJG3t/j6Ge+1g6aQp5c63Ijgh4E2Bd4c2LvREwJUAB0JQ0/SAQcAEu1AFPEMMLnYAWDHY3XJDndp+SV480S1//wGAM2VkiayfnyF2z8mTJ+GzRlwrom3/dFpG0IX0ofkVFhfT09DjFpGMX++V3TQOy72x3TF852Vlyz/Iy+eTm2bJl3gRPfYQO3YcBe8lb5KUCxcXFnnquq6uTxsZG55hI7ipbi+S1uovkzpPk9Z2Hy1tOlsiaqPNN85bMG2Gj3/wcydub53LkrTMd5C3JvEXOAbeflfn5+bJp0ybJzc113WP0m58jedtxpleqzvWRN9eK7IiANwHWFd682BsBUwIUAE1J0w8CARfgQh3wBDG8UAkcarwij2+vltrm9oTjnl6cJd/cVi6bF01LuO+NOzQ1Ncmre4/KMzVd0th+vcA4VEOLyorlW9vKZcX0sZ77yoQDvObty3dMl/tvXe2ZRou2Wrw9caGL3HnWu/kAr3l7dE2RPHj3LZKX5/3O2OPHj8vuY++QNx/ypk14zd3X7l8kd5S7v/svMszW1lb5z9f2kjef8kYzCCQSYF2RSIi/IzAyAhQAR8adXhEInAAX6sClhAGFVOCNuhZ55LlK6ejucx1BYX6OPPWpdbJ1YeLnyEU3urP2nDz87D7p6ktc/Iscl2xfroMJ6Y4m86ZEP991VL70UoN0uZ8mQu5unlzJ5G10XrY8/en1ns837f21I2fl0eeryJsP53kyuUv2HNC+Hn52r3T28lnpQ+poAoGEAqwrEhKxAwIjIkABcETY6RSB4AlwoQ5eThhR+AT0bpZtT+32VPyLLsxtf2SL67vzTPYVvkx4G7FpS9P9edMIz96mHU33F55MeB+pSUuTfXmX4AgE7BRgXWFnXokq/AIUAMOfQyJAwBcBLtS+MNJIBgvos6XueWKnq5/9DsW0uKxEXnlsa8Ln9Jnsy/aUmrY03Z+t+TPtaLo/W/OmcZm0NNmXzTkjNgS8CrCu8CrG/giYEaAAaMaZXhAIvAAX6sCniAEGXGBX/Xn5+DMVKY/yhYc3y5b5E4Ztx2RfKQcU8AZMW5ruL+D8SQ/PtKPp/pKGCcGBJi1N9hUCeoaIgDEB1hXGqOkIAU8CFAA9cbEzAvYKcKG2N7dEZkbgc89Xyss176bc2R+unCrf+8TaYdsx2VfKAQW8AdOWpvsLOH/SwzPtaLq/pGFCcKBJS5N9hYCeISJgTIB1hTFqOkLAkwAFQE9c7IyAvQJcqO3NLZGlX6Cts0fKv/pf0tfv/gHzQ40qJztLqr/yQSkpiP+GUpN9pV9uZHswbWm6v5HVTV/vph1N95c+uZFv2aSlyb5GXpYRIBAsAdYVwcoHo0EgIkABkLmAAAKOABdqJgICyQvUNbfJB7+9M/kGbjjtqzJMAAAgAElEQVTyN4/fJgsml8Rtz2RfvgUU0IZMW5ruL6DsKQ/LtKPp/lIGCnADJi1N9hVgcoaGwIgIsK4YEXY6RSChAAXAhETsgEBmCHChzow8E2V6BKrPXJaPfO/3vjX+i8/fKuUzS+O2Z7Iv3wIKaEOmLU33F1D2lIdl2tF0fykDBbgBk5Ym+wowOUNDYEQEWFeMCDudIpBQgAJgQiJ2QCAzBLhQZ0aeiTI9AibvNDHZV3q0gtOqaUvT/QVH2t+RmHY03Z+/WsFqzaSlyb6CpcxoEBh5AdYVI58DRoBAPAEKgMwLBBBwBLhQMxEQSF7Az2dN5WZnyX5DzwBM1FfyIuE40mTeVMR0f+HIgvdRmnY03Z93kfAcYdLSZF/hyQAjRcCMAOsKM870goBXAQqAXsXYHwFLBbhQW5pYwjImYPJtkyb7MgY4Qh2ZtjTd3wixpr1b046m+0s74Ah2YNLSZF8jSErXCAROgHVF4FLCgBBwBCgAMhEQQMAR4ELNREAgNYFd9efl489UpNaIiLzw8GbZMn/CsO2Y7CvlgALegGlL0/0FnD/p4Zl2NN1f0jAhONCkpcm+QkDPEBEwJsC6whg1HSHgSYACoCcudkbAXgEu1PbmlsjMCAwMDMg9T+yU2ub2pDtcXFYirzy2VbKysoZtw2RfSQcTkgNNW5ruLyRp8DxM046m+/MMEqIDTFqa7CtEKWCoCKRdgHVF2onpAIGkBCgAJsXGQQjYJ8CF2r6cEpF5gUONV+SjP/i9dPYOeO68MD9Htj+yRVZMH+vqWO1r21O7paO7z9X+0Tt57ctzByE7QC0feHKXXOvp9zzyZCzJnWfmuAeYdjTdnz9KwWzFOed+sEuu9ab/nCNvwZwDjMpuAdYVdueX6MIrQAEwvLlj5Aj4KsCF2ldOGstQgcuXL8tPf1Mp393fKV0e6nJaRHrqU+tk68JJnuTeqGuRR56r9FQEHJUj8uQn1sody6Z66svmnfUuoR+9tEu+sfuykbypZTK5G52XLU9/er3neWJz7n6+66h86aWGQOdtVE6WPPOZ9XLbosk2p8JTbN3d3fLDF38v36nsMJK7ZM43/az8zgPL5d7yOZ5iY2cEEODRQswBBIIqQAEwqJlhXAgYFqAAaBic7qwT0CJSZWWltLe3y9tX+uSZmi5pbE98J6D+7Peb21a7vvPvRji9u+Xx7dWufno8ozhLHlo5SrYsmSGLFy+2LgfJBtTY2Ch1dXVG86Zj9Zq7R9YUyYN33yJ5eXnJhmrVcT09PVJRUSEnLnQZO9+SyZuec3dvWCrTpk2zyj+VYI4fPy5nz541es55Pd80bytnlMratWsTPpYhFQuORcBGAdYVNmaVmGwQoABoQxaJAQEfBLhQ+4BIExktoItZXdRGNi0Ito2eKq/UX5VfH26Wvv7rxcDc7Cy5Z/kU+eTm2bJ53viUF5fa11sNF+W5t96O29eWmYVyy+Q+WTI+e7CvdevWSUlJSUbnTIPXItKePXucf+umlqeu5UvFxQJ59Uh68xbpb7jcrZmcLXfOzBvMnRaRFi1alPF5U4Da2lppamoazNuxi/1S1VYkO2ovpvV8c5O3DVPz5bZpWYN506Ltpk2bJDc3N+Nz19bW5nxZEv1ZeU5K5fWm/hH/rNw6b4xsHNcV81mpX5ZMncod0xk/cQHwJMC6whMXOyNgTIACoDFqOrJZ4Ny5c84CUv/Zu3ev88+FCxeckD/zmc/IT37yE0/hv/LKK/L000877bW0tMikSZNk48aN8hd/8Rdy7733emrL7c5cqN1KsR8CNwv09vY656v+rC2yFRYWyvr16yU7O1vaOnukubVT2rv6pHhUjpSNKZCSgvTcxRWvr/ysfmd8fX3Xf5c8duxYKS8vT7n4GPb5cOLECect6NGbupSWlhrNm/YfL3dnGupErzHR24YNG6SoqCjs9CmNX++03bdvX0wbkydPlmXLlgUib73X2uXAgQMx45sxY4YsWLAgpbjDfrAW2Kurq+XKlSuDoeTk5Dj/G2fUqFFGcxfvfCvKz3HmVUdHx+D48vPznfFRvA377GP8JgVYV5jUpi8E3AtQAHRvxZ4IDCkw3Bs7vRQA9X8YP/roo07xb6hNi4BPPvmk74t2LtRMcASSF2hoaJDTp0/HNLBq1SoZP3588o36fOSpU6fk5MmTMa0uX77c+YIhUzdd5OsXNvrZG9kmTpwoK1asCAxJZ2enU7zt77/+soRx48aJzq9Eb4sOTBA+D0TzdfDgQbl06dJgy1po1yJNQUGBz70l39yhQ4fk/Pnzgw1ovrR4q18OZOqmxewjR47EhD937lyZPXt2YEguXrzozK/obdasWTJv3rzAjJGBIBB0AdYVQc8Q48tUAQqAmZp54vZVIHoRNnPmTFm6dKm8+uqrTh9eCoB/93d/J1//+ted49asWSNf+MIXZP78+VJfXy///M//LPv373f+pvt97Wtf8zUGLtS+ctJYBglcu3bNKdBEF5EmTJggK1euDJSCFpB0nFpQimxaLNGChN6Bk4mbLvJ1sR/Z9LNci0ijR48OFIcWbrWAG71pkVKLlZm4aVFNi2vR25w5c0T/CdIW77NBvxTQ4m0mbnoHsn4GdXV1xXwG6TmnBdwgbTU1NYO/5NBxBfWzIUhmjAWBaAHWFcwHBIIpQAEwmHlhVCET+Id/+AdnEa3/lJWVydtvvy36jbZubguA+jM0LRzqTwn1Z4M7d+6MWYTqnSq3336789MU/RnKsWPHnOKgXxsXar8kaSfTBMJ0l48+UuDw4cMxKQra3Tem5o8+pkEX+dFbUO/yiVc40SKlXnOCVjhJd/60kK13bWpxLbLpT0e1iBTEQnYY7g5Od84i7YfpLuQw3B1sKm/0g0AyAqwrklHjGATSL0ABMP3G9JCBAskUAD//+c/L97//fUdr9+7dsnnz5pvk3nrrLdmyZYvz3//yL/9Svvvd7/qmy4XaN0oaMiigz3B690qnXO3uE31205Sx6Xu2nhNWZ6tIa5NI91WR/CK51F8oB441xETs13O+0hHbsM/fGuiKiU3GTBMpGJO2bKYjviEHe0Pe+kumyL6a2rQ95ysdsTU3N8vRo0djQtSfJM6aXGpv3uKcc2da+6X+ndhnIuqXZ/rlW6pbOvI27PNBu9uN5S4dsQ3rfcM511UwUSqqj8T8lF2fs7l69WpffsqejvjiPR9UxztudI6xvKlxOmJL9VzheAQSCbCuSCTE3xEYGQEKgCPjTq+WC3gtAOqiXH863NjYKEuWLLlpkRfNpX/XN41qkUGfOebXM6C4UFs+KS0KT8+X3Q0X5Lndp256S2uO83bdMuftulvmTfDn/NDnw739hsieZ0SOvSQycP1FGgNZ2dIycbM0TbtPLpeulLz8/JTe9GkitpiXJwwMSOnlGpl3YYeMadwZE5tk5YgsvV9kw0Mic7bqb+BSnkUm4hsc5LB5y5GWiZsG86ax6WfrlClTko4x3bFp+/oYiNbWVn1VsZO3GU2/kgnnKyQrak6GPm+aAQ/n3JixY51HZiR7LUx33jScmDeEv5+7RVd2SuGpHWk950zEFnPCeDzn9NcOxcXFgT3ntHhbUVHx3hvC38/brOZXZVzzLvvOuaSzwIEIxBdgXcHMQCCYAhQAg5kXRhVyAa8FQP2JUOTnvI888ojzko+hNv175CUhelzkp8apknGhTlWQ400IHGq8Io9vr5ba5vaE3S0qK5ZvbSuXFdPHJtx3yB2aqkV+/qhIS+ydV/H2v1o4Szru/ZZMWvXBpPozGZt+idBW+6YsPfqEFHXEvrwk7uAnLRX54ydFppUnFZseZDI+8Zi3U+v+myy988Gki0imYtPiX+3rP7M3bzpRPOZu4I+flOKFtyY1L03lTQtxVVVVMtBUbSx3pmIbhPeYt5atX5M5W/4oqbyZ/DxpamqSpspfGcubydiSxudABFwIsK5wgcQuCIyAAAXAEUCnS/sFvBYAX3rpJbn//vsdmG9/+9vy2GOPDYmkf3/88cedv+txH/rQh3wB5ULtCyONpFHgjboWeeS5Sunovn4HXqLuCvNz5KlPrZOtC5N40239DpH/9UmRnquJuhn8+0BekWQ9+FOR+Xe6PkZ3NB1bz/FXJXv7pySn7/oLQRIOOK9IJInYjMeXVN4KJevB5z3nbSRi63/h45Lde/35d9bkTQNJIneS5Lw0fc5dPfhLKfjFQ5LTn/5zznRsyeRtIC8c59zAiR3S/8LH7PysTPjhwQ4IJC/AuiJ5O45EIJ0CFADTqUvbGSvgtQCod/x99rOfdbx+9rOfyUc/+tEh7f793/9dHnjgAefvepzeEehm0wvxcJv+REkfoq7bmTNnnJ8YsyEQFAG9m2XbU7s9Ff8iY9ci4PZHtni7E1DvZvnxhzwV/wattCDxZy+7vlvO5tjUxGh8BvNGbEN/OnDO3WBjcF4aPd80TIOxcc75fM4F5QLPOKwUoABoZVoJygIBCoAWJJEQgifgtQD4jW98Q77whS84gfzqV7+Se++9d8ig9O+Ru/7+5V/+Rf7mb/7GFYCX5yNRAHRFyk6GBPTnc/c8sdPVz36HGtLishJ55bGt7n7iqc+x+v4WVz/7HZJg8jKRz+5K+Nw8m2NTG6PxGcwbsSU++Tnn3jcyOC+Nnm/vnQTGPis553w+5xI3xx4IpCRAATAlPg5GIG0CFADTRkvDmSzgtQD43//7f5evfOUrDtlvf/tbufPOoX8+uGPHDrnrrrucffW4v//7v3dFTQHQFRM7+Sigi1Ev826ornfVn5ePP1OR8sheeHizbJk/IXE7J3eKPPvhxPsl2uMzL4rM3TrsXjbHpoEbjc9g3ogt0eR/7++ccyJicF4aPd80wQZj45zz+Zwbpjm/rt3uRsxetgpQALQ1s8QVdgEKgGHPIOMPpIDXAqCJOwD5CXAgp4p1g9KFw7Vr15w3VHd3dztvVk11+7//vwPyyuFzqTYj9y0vk+/8n6sStpP7n/+XZB/7ZcL9Eu3Qt+T/kL4/+dGwu9kcmwZuMj6TeSO2RLP/vb9zzomYnJcmzzfNr8nYOOf8PeeGa+3o0aNSUFAgM2fOlNGjR/vyRZ670bOXTQIUAG3KJrHYJEAB0KZsEktgBLwWAE08AzARDhfqREL8PZGAFv+08Pf6669Lf3+/s3tZWZmzgEh2u9Y7IJ//bYf0DyTbwvXjsrNEvndXoYzOzRqysZzeDvnAm5+QLHlv/KlsA5Itb37geenLLYzbjM2xacAm4zOZN2Jzf1ZwzvF54ma2JPqs5Jxzo/jePm7OueFa0y/wmpub32srO1tuv/12mTVrFkVA9ylgz/cFWFcwFRAIpgAFwGDmhVGFXMBrAfDFF1+UD3/4vZ8c8hbgkCc/g4ff29sru3btkoaGhkGF/Px8mTp1atKLh8b2fvm7Nz288TSB/9c/MFqmFWcPuVfh1dOyce9f+ZbFPRv+X+komhm3PZtj04BNxmcyb8Tm7fTgnOPzxM2MGe6zknPOjeD1fRKdc0O1pl/iNTU1SU9Pz+Au8+bNk1tuuUVyc3O9DYK9M16AAmDGTwEAAipAATCgiWFY4RbwWgDUgsn8+fOdoPWtvnpH4FCb/v3pp592/qzHzZ071xcsLtS+MGZ8I6dOnZLXXnstxmHChAlSUlKSlE3D5T756ludSR0b76CvbC6QeaU5Q7ZX0lor66r+1rf+Ktd+Q9rGLIrbns2xOZ9PBnNnMm/E5u304Jzj88TNjBnus5Jzzo3g9X0SnXNDtdbW1iYXLlyI+fMdd9whs2fP9jYA9kZARFhXMA0QCKYABcBg5oVRhVzAawFQv3WdMWOG882rPjNNn78y1LZ06VI5duyYTJ8+XfRtvX68ZEH74kId8kkXkOF3dXXJf/zHfzjP/4ts+jMind/6b6+bybvIdGwm7ySzOTa1NBmfybwRm7ezONHdSCZzZ3JO8nnibZ5wB6C5O93jZaavr08aGxsHH9+h++Tl5clHP/pRGTVqlLdksjcCrCuYAwgEVoACYGBTw8DCLOC1AKixfu5zn5Mf/OAHTti7d++WzZs330Tw1ltvyZYtW5z/rvt/73vf842JAqBvlBndkBazW1papKamJsZBC9b6UyKvW3tnr2z4x99Jnw8PAczNzpI9X/oDKS4Y5qdMXW2S962FkjXQ53WoN+0/kJ0rPf9Prcio+Hc/2hybYhiNz2DeiM39qcE5x+eJm9mS6LOSc86N4nv7uDrn4jSnvyjRAmD0tmrVKpk4caJvXzS7j4I9bRBgXWFDFonBRgEKgDZmlZhGXCCZAmBtba0sX75c9Dlq69evl507d8a8PEEfzHzbbbfJvn37nGexHDlyRBYuXOhbrFyofaOkIRE5dOiQnD9/ftBC71TdsGGDFBbGfyHGcGife75SXq55N2XXP1w5Vb73ibWJ29n+aZEj/zvxfon2WPYRkW3PDruXzbFp4EbjM5g3Yks0+d/7O+eciBicl0bPN02wwdg453w+56Ka6+jokL1794p+gRfZtPC3YsUKd52yFwJxBFhXMC0QCKYABcBg5oVRhUzgzTfflBMnTgyOWgsff/u37z3359Zbb5WHHnooJqI//dM/jRvhl7/8ZfnHf/xH529r1qyRL37xi86zAevr6+Wf/umfZP/+/c7fdL+vf/3rvipxofaVM+Mb04L1nj17YhYU+izAlStXerbZVX9ePv5MhefjbjzghYc3y5b5ExK3c3KnyLPvvZQnpe0zL4rM3TpsEzbHpoEbjc9g3ojN3ZnBOSciBuel0fNNp4DB2DjnfD7nopo7ePCgXLx4cfC/6Bd2GzdujPkS2l3v7IXAdQHWFcwGBIIpQAEwmHlhVCET0ILes88Of6dPdEjR37JG//f+/n55+OGH5V//9V+HFPjzP/9z5yUgyTxPbThWLtQhm3QhGK7+pOj06dMxI9WfFI0fP97T6PV8ueeJnVLb3O7puOidF5eVyCuPbXX3Uya9C+L7W0Rahn4WZ8KBTF4m8tldIllZw+5qc2wauNH4DOaN2BKeAcI5976RwXlp9Hx77yQw9lnJOefzOfd+c/rSjxsf2TFr1qykHtmReITskUkCrCsyKdvEGiYBCoBhyhZjDayAXwXASIAvv/yyU+TTn2To3YT6Uwz9+aS+Afi+++5LiwMX6rSwZnSj+nN2vQsw+oUg+hNg/Ym71wL2ocYrsu2p3dLR7f3ZfIX5ObL9kS2yYvpY9/loqpb+f71XsnuTeDB7XpHIn70sMq3cVX8jEZv8+EMiPVddjS9mJ4+x6bFG42uqloEf3ydZPR1WxmZt3jRbTdXS96N7JaePcy6Vc87o+fZ+3jjn4nzcBP2zUsR54Yc+VkZ/AhzZ8vPznbv/9FEzbAikIsC6IhU9jkUgfQIUANNnS8sIhEqAC3Wo0hWawZ49e1aOHz8eM94FCxY4bwX2ur1R1yKPPFfpqQioxb+nPrVOti6c5Kk7LVoef/lJWXbwf0hOf6f7Y3XR9+BPRebf6f4YETEZmzOw+h0i/+uTnoqAfTkFkv2xFyRrgbfYtDuT8Z1+7Scy/Y0vGsmb6diSylt2gXR+5IdStMr7z9pN5u3y5ctyasdPZMWh/2kkdyZjS/ac688dLdkf+7dAf57oXYe1v3pKFuz7ByN5C8U5l1Mg/duek7zFd3u6DpiOTf93X/Tja7T/JUuWyJQpUzyPmwMQuFGAdQVzAoFgClAADGZeGBUCxgW4UBsnz4gOdXFYVVUlbW1tg/HqnQWbNm2SvLw8zwZ6d8vj26td/RxYf4L4zW2rvd359/6ItGipxcvitnpZevQJKeqI/Slz3IHrz34/8gPXd/7d2Iap2Ab7baoW+fmjrn7q3F40W44t+WuZtu4+mTZtmue86QEm4mttbXXmm8m8mYotlbxlTSuXtWvXuvsJ/A3ZNZE3/ZyorKyU9vZ2o7kzEVsMZxLn3KLbH5AxY8Z4PudMxdbU1CT6EjPOufdSFPmsLFn0AVm8eLHnvJn6POnp6ZGKigrnxXORraSkJOnPiaQC5SCrBVhXWJ1egguxAAXAECePoSPgpwAXaj81aSta4MqVK4MvsIn89+nTpyf9FmstFrzVcFGee+tt+fXhZunrv/7mwtzsLLln+RT55ObZsnne+KQKHlqs1GLE4DYwIPOym2RW869Fjr4oMhD1M+TsXJEl94tseEhkzgcSPvMv0cxId2w39a/P8Hr7TZG9z9wU20B2rlwqu0VOT75bLpeucGLToq0Wb5P9eVg649O29UVJWgR0toEBGd92RFZ07Jbs4y+nNW/vdZfeeRmTu2HyJtm50jH7Lqkds3Uwb3qsFiOmTp2aaArG/Xu6Y7vpTuGBAVledEkmvf2LjDvnzk/cLI1T7x3MnRb/9KVg+mIGr1u686ZFJH3Mg/47cs5N7aqXRa07JSvNn5VBO+dap98uDePviDnn1q1bJ1pUS2ZLd+60aKvF2+hN59nYsR4elZFMYByTMQKsKzIm1QQaMgEKgCFLGMNFIF0CXKjTJUu7KnDkyBE5d+7cIIYuZvVZgEVFRSkBtXX2SHNrp7R39UnxqBwpG1MgJQXe7yyMDEIXXdXV1aJFy8iWk5PjPBNp1KhRIp2tIm1nRbraRUYVi5RMFSnwfneOm6D9ji1hn3Fiu3StTw4cOBBzqP58W3/Gnermd3zNzc1y9Gjsi1v0LeozZ840mjd18Tu2Ya3j5K0/vzhtz/byO7aEzwrNsHPuTMsVqa+vj0n50qVLpaysLKVTzu+86WD056P6vx2it/LyciktLc24c64ra5RTDO3ru/4FkRbT1COZ4m20qd+50ztt9dl/0dvkyZNl2bJlKc0xDkYgWoB1BfMBgWAKUAAMZl4YFQLGBbhQGyfPqA47OzudxZE+dDyyjRs3TvStwKkujvyE1CKlFiujt7lz58rs2bP97CZUbR06dMh5GVFk03zpS4n0hS5B2XTRrfOrq6trcEijR492xun1hTNBiSnVcVy8eFEOHjwY00wQ3+6pxa4zZ87EjDOZt4Wn6hWU4/UzUl8Adu3a9Zeh6JcP+iWEfhkRlE1fHKHj1C9NIpu+sGzFihVBGaLxcZw6dUpOnjwZ068W1bS4FpRN86WfC5cuXRockn5G6vwqKCgIyjAZhwUCrCssSCIhWClAAdDKtBIUAt4FuFB7N+MIbwK6MNIFUvSmi0VdNAZhi1dE0gWRLowytYikedFChBbXohf6EyZMkJUrVwYhbc4Y4s0tHZ+OM5O3mpoauXDhwiCBFm91PmtxNAhbGObWSDhpwV0L79GbfgmhX0YEZdMikhaZI5t+RmrBPShzaySc9BqiRVH9wiuy6TVEXYJSvI03t+bMmSP6DxsCfgqwrvBTk7YQ8E+AAqB/lrSEQKgFuFCHOn2hGHzQ79KKd/fG8uXLZdIkb28QDkUyPA6yoaFBTp+OfRFKUO7SCsvdpR7Jfdk96HdpheHuUl8S4bGRoN+lpUVlLS5Hb0G8u9Qjuy+7t7S0yOHDh2PaCspd5GG5u9SXRNDIiAuwrhjxFDAABOIKUABkYiCAgCPAhZqJYEJgqOe0lU6aIu9e6ZSr3X1SlJ8jU8am9iy/RLHoM5Wi+xtfkC2HD1TG/ERZn2O1evXqQP1EOVFc6fr7cM9p05yZyt2NedN5crq+VnTRHdn8er5kuixNtxvvOW06r3NHFxvLm8Z8Y+4KBjql/lhsocSv50uaNk5Hf1evXnWe0xZ9523kOW3xzoNUnn063Phv7GtySb4cP3RAtLgc2fLz8507S5N9OVA6/EaqzeGeI9s9kD2i51xv23lpfif2Lnw/ni85Utb0G2wB1hXBzg+jy1wBCoCZm3siRyBGgAs1E8KEQPSbWvX/PnaxX3ac6ZWqc30xb/PNcd7mW+a8zXfLvAm+FOG0v90NF+S53afk1SOxbw/OzhJZOzlH7pqVJ0vGZzv96UtKiouLTbCEoo/oN7VGcldxcZS8cbI1rbkbLm85WSJrbshbKm+YDkUiPA5Si7cVFRXOm1ojeftd04DsO9ud1rzpML2cc1pESuUN0x5ZQrF7XV2dNDY2OmON5K6ytUheq7uY1tx5PeeWLFkiU6ZMCYWpiUFGv0k+krc3z+XIW2c60po3r+ecvqQk2TdMm3Ckj3ALsK4Id/4Yvb0CFADtzS2RIeBJgAu1Jy52TkGgtbVV/vO1vfJMTZc0tl9/gPxQTS4qK5ZvbSuXFdPHJt3rocYr8vj2aqltbk/YxvTiLPnyHdPl/ltXJ9w3k3bQhWxVVZXUvHPZWO685u3RNUXy4N23SF5e8m+CtjGnTU1N8ureo8bypoZec/e1+xfJHeWpv13apvxp0VaLtycudBnLnde8PbZ5vHz0rk2+fEljU+6OHz8uu4+9YyxvyZxz39xWLpsXTbOJnVgCJMC6IkDJYCgIRAlQAGQ6IICAI8CFmolgSuCNuhZ5+Nm90tmbuPgXGVNhfo489al1snWh9+fxaX+PPFcpHd19rkNMpT/XnYRwx1eq35a//tlh6XJPKclaJpO30XnZ8vSn1yc1T0KYDtdD3ll7Th5+dp909XHOuUYLyI4/33VUvvRSA+dcQPLhdhivHTkrjz5fZSRvOqZkPi+T/Wx2a8B+mS3AuiKz80/0wRWgABjc3DAyBIwKcKE2yp2xnendJdue2u2pGBddBNz+yBZPdwKa7s/mxJq0NNmXzTnT2Exbmu7P5vyZtDTZl80545yzPbvE51aAdYVbKfZDwKwABUCz3vSGQGAFuFAHNjXWDEx/QnrPEztd/Qx3qKAXl5XIK49tdfVzM9P9WZOoOIGYtDTZl80509hMW5ruz+b8mbQ02ZfNOeOcsz27xOdFgHWFFy32RcCcAAVAc9b0hECgBbhQBzo9VgxuV/15+fgzFSnH8sLDm2XL/AkJ2zHdX8IBhXgHk5Ym+wpxSlwN3bSl6f5cIYR0J5OWJvsKaTpcD9u0pen+XKHo0pcAACAASURBVEOwY8YLsK7I+CkAQEAFKAAGNDEMCwHTAlyoTYtnXn+fe75SXq55N+XA/3DlVPneJ9YmbMd0fwkHFOIdTFqa7CvEKXE1dNOWpvtzhRDSnUxamuwrpOlwPWzTlqb7cw3BjhkvwLoi46cAAAEVoAAY0MQwLARMC3ChNi2eWf21dfZI+Vf/S/r63b+EYCihnOwsqf7KB6WkYOg3vZruz+ZsmrQ02ZfNOdPYTFua7s/m/Jm0NNmXzTnjnLM9u8TnVYB1hVcx9kfAjAAFQDPO9IJA4AW4UAc+RaEeYF1zm3zw2zt9i+E3j98mCyaXDNme6f58CyyADZm0NNlXAKl9HZJpS9P9+YoVsMZMWprsK2DMvg/HtKXp/nwHo0GrBVhXWJ1egguxAAXAECePoSPgpwAXaj81aetGgeozl+Uj3/u9bzC/+PytUj6zdMj2TPfnW2ABbMikpcm+Akjt65BMW5ruz1esgDVm0tJkXwFj9n04pi1N9+c7GA1aLcC6wur0ElyIBSgAhjh5DB0BPwW4UPupSVs3Cpi+U8F0fzZn3KSlyb5szpnGZtrSdH8258+kpcm+bM4Z55zt2SU+rwKsK7yKsT8CZgQoAJpxphcEAi/AhTrwKQr1AP18zlRudpbsN/gMQDf9hTo5CQZvMncm+7I5ZxqbaUvT/dmcP5OWJvuyOWecc7Znl/i8CrCu8CrG/giYEaAAaMaZXhAIvAAX6sCnKPQDNP22QtP9hT5BwwRg0tJkXzbnTGMzbWm6P5vzZ9LSZF8254xzzvbsEp8XAdYVXrTYFwFzAhQAzVnTEwKBFuBCHej0WDG4XfXn5ePPVKQcywsPb5Yt8yckbMd0fwkHFOIdTFqa7CvEKXE1dNOWpvtzhRDSnUxamuwrpOlwPWzTlqb7cw3BjhkvwLoi46cAAAEVoAAY0MQwLARMC3ChNi2eef0NDAzIPU/slNrm9qSDX1xWIq88tlWysrIStmG6v4QDCvEOJi1N9hXilLgaumlL0/25QgjpTiYtTfYV0nS4HrZpS9P9uYZgx4wXYF2R8VMAgIAKUAAMaGIYFgKmBbhQmxbPzP4ONV6RbU/tlo7uPs8Ahfk5sv2RLbJi+ljXx2p/Dzy5S6719Ls+JrJjMv157iREB5jMncm+QpSCpIZq2tI5536wS671cs4llbCog0zmzmRfqboE/XjTltrfR3/we+nsHfBMw3XOMxkHuBRgXeESit0QMCxAAdAwON0hEFQBLtRBzYx943qjrkUeea7SUxFwVI7Idx5YLveWz/EEondH/OilXfKN3Zely0PNURdFT31qnWxdOMlTf7bvnEzuCnKz5JnPbPBs+fNdR+VLLzWQNx8mVTJ503PuyU+slTuWTfU0gu7ubvnhi7+X71R2kDtPcvF3TiZ3o/Oy5elPr/d8zj3/20r56o53ydsI5W1Ujn5WrpfbFk32NILLly/LT39TKd/d30nuPMmxczoFWFekU5e2EUhegAJg8nYciYBVAlyorUpn4IPROxYe317t6ufAM4qz5KGVo2TljFJZu3atq5//RgAaGxulrq5O3r7SJ8/UdElje+I7JPRnxt/cttrTnYaBB/dxgMnk7k/u2CBjxoxxPYqenh6pqKiQExe6yJtrteF3TCZvW5bMkMWLF3sawfHjx+Xs2bOcc57U/M3dI2uK5MG7b5G8vDzXo2htbZWqqiry5los8Y7JnHN3b1gq06ZNS9z4+3vol1yVlZXS3t5O7lyrsaMJAdYVJpTpAwHvAhQAvZtxBAJWCnChtjKtgQ5KFy5vNVyU5956W359uFn6+q8X53Kzs2TrvDGycVyXLBmfPVj002LE1Knu7kjSItKePXtE/62b9nfqWr5UXCyQV4/c3N89y6fIJzfPls3zxnsqMgYaOU2DS5S7tWU5cseM3MHcafFvzZo1rl1ra2ulqalpMG/HLvZLVVuR7Ki9eNM8IW/uk5wob1tmFsotk/tizrl169ZJSUmJq07a2tqcYkRk0/7OSam83tQf9xwnd65YB8+D4T4v10zOljtn5g3mTotIixYtctWB5mn//v2iRcDIZ2XdFZGqtmL5r6MtnHOuFOPvlOic2zA1X26bljWYNy3abtq0SXJzc131qsV2LbpHn3Nto6fKK/VXOedcCbJTugRYV6RLlnYRSE2AAmBqfhyNgDUCXKitSWUoA2nr7JHm1k5p7+qT4lE5UjamQIryc2Tfvn3S0dExGFN+fr5s3LjR1eLoxIkTovM6eisvL5fS0lKJ119Jgfu7ZUKJnKZBx7O83PKu1NfXx/S4dOlSKSsrSzgKvZNF8x69TZ48WZYtW0beEuq53yFe3vKz+p2ieV/f9d/Ljx07VvS8SfTiHS10VFdXy5UrVwYHkZOT45yvo0aNInfuU5Nwz3i5O9NQJ+fOnYs5dsOGDVJUVJSwvebmZjl69GjMfvPnz5eZM2eSt4R67neIl7fea+1y4MCBmEZmzJghCxYsSNhwb2+vc77qz+4jW2Fhoaxfv16ys7PJXUJBdkinAOuKdOrSNgLJC1AATN6OIxGwSoALtVXptCaYixcvysGDB2PimTVrlsybN2/YGLVouHfvXueuv8g2ceJEWbFihTU2QQ6kv7/f8b927drgMLUIpMUgLQoNtWm+NN+XLl0a3EUXsnpcQUFBkEO2ZmynTp2SkydPxsSzfPlymTRp+OdhavHpyJEjMcfNnTtXZs+ebY1NkAPp7Ox0ikF67kW2cePGyapVq4Yt3mqxV4/r6uoaPG706NGixUM999jSL3Do0CE5f/78YEdabFd/LeYNtzU0NMjp06djdtF8jx8/Pv2DpgcEEgiwrmCKIBBMAQqAwcwLo0LAuAAXauPkdOhSoKamRi5cuBCzONKCkC5Sh9q0iKTFw8imC6pEx7gcDru5FNAFrS5sozctBmlRaKgt3jFz5swR/YfNjIAWkLQgpAWlyKbFVy1IDFW8jVdE0mP0nKOIZCZv2osWbrWAG73plx765cdQWzLHmIsoM3rSL0r0nIv+wkqLeFrMG2qLd8yECRNk5cqVmYFGlIEXYF0R+BQxwAwVoACYoYknbARuFOBCzZwIqoDXu/m0WKhFw+jNzV2DQY0/rOPyejdfsncNhtUnyONuaWmRw4cPxwxxuLv5kr1rMMgGYRyb17v5kr1rMIw2QR+z17v5kr1rMOgOjM8eAdYV9uSSSOwSoABoVz6JBoGkBbhQJ03HgQYE4j3Pb/Xq1TJudI5Ia5NI91WR/CLpL5ki+2pqk35uoIFQMqqLq1evOs/zi76zJfI8P+lsjcndmdZ+qX8n9hlmbp8bmFGoBoId9nl+A10xeesqmCgV1Udifnqqz9nU8zPRcwMNhJJxXcR7np8+MmHW5NKYvMmYaXK4/oxosTeyab70+XFunhuYcbBpDnjY5/l1t8fk7lJ/oRw41hAzIrfPDUxzGDSPwKAA6womAwLBFKAAGMy8MCoEjAtwoTZOToceBHRxVFFR8d4bfQcGpPRyjcxqflXGNe+SrIHrLywYyMqRlombpGnafXK5dKVIVpYsWbJEpkyZ4qE3dvVToK6uThobG99r8v3cLb+6S/LqXxWJyV22tEzcPJi7MWPHenpzsJ9jpi2RmJexvJ+3eRd2yJjGnTfk7eZzTotIxcXFMI6AQMwbfd/P24ymX8mE8xUJPyunT58uCxcuHIFR06UKxLzR9/3cLbqyUwpP7Rj2szIvP9/Tm4PRRsCEAOsKE8r0gYB3AQqA3s04AgErBbhQW5lWq4JqamqSpspfydKjT0hRR+yDz+MFerVwlpxa999k6Z0PcifSCM4ELdpq8bbg0nFPuRv44yeleOGtIzhyuj5+/Li01b7pKW8tW78mc7b8EXgjKNDa2iq1r//MU95qV/yNrPjgJyQvj7ehj1TqtHhbVVUlA03VnnLXce+3ZNKqD47UsOkXgbgCrCuYGAgEU4ACYDDzwqgQMC7Ahdo4OR16FBg4sUP6X/iY5PRdfzlBoiYG8gol68HnRebfmWhX/p5GgZa3tsv4V/9Kcvrd507yikQe/Cm5S2NeEjXdc/xVyd7+Kc65RFBB+3u9flZ+XLJ7r7+FO9EQ+3NHS/bH/o3zLRFUmv9+9eAvpeAXD3n6rBzIK5IsPivTnBma9yrAusKrGPsjYEaAAqAZZ3pBIPACXKgDn6LMHmBTtciPPyTSc9W7gxaS/uxlkWnl3o/liNQFmqpl4Mcfkixyl7qlyRY450xq+9cXefPP0nRL5M60OP2lUYB1RRpxaRqBFAQoAKaAx6EI2CTAhdqmbFoWy8CAyPe3iLQcTT6wyctEPrvLeSYgm0EBcmcQ28euyJuPmAabIm8GsX3uitz5DEpzIy3AumKkM0D/CMQXoADIzEAAAUeACzUTIbACJ3eKPPvh1If3mRdF5m5NvR1acC9A7txbBWlP8hakbLgfC3lzbxW0Pcld0DLCeFIUYF2RIiCHI5AmAQqAaYKlWQTCJsCFOmwZy6Dxbv+0yJH/nXrAyz4isu3Z1NuhBfcC5M69VZD2JG9Byob7sZA391ZB25PcBS0jjCdFAdYVKQJyOAJpEqAAmCZYmkUgbAJcqMOWsQwZb2eryD/NERnoSz3grByRL74tUjAm9bZoIbEAuUtsFMQ9yFsQs5J4TOQtsVFQ9yB3Qc0M40pBgHVFCngcikAaBSgAphGXphEIkwAX6jBlK4PGeu6YyPc3+Rfw5/eITFrsX3u0NLQAuQvn7CBv5E0F+Kw0Nw8458xZ05MxAdYVxqjpCAFPAhQAPXGxMwL2CnChtje3oY7snUqRH97pXwgP7RCZsc6/9mhpaAFyF87ZQd7ImwrwWWluHnDOmbOmJ2MCrCuMUdMRAp4EKAB64mJnBOwV4EJtb25DHRl3RoQ3feQunLkjb+RNBbgD0Nw84JwzZ01PxgRYVxijpiMEPAlQAPTExc4I2CvAhdre3IY6Mj+fjZSdK/KFkzwD0NSEIHempP3th7z562mqNfJmStr/fsid/6a0OOICrCtGPAUMAIG4AhQAmRgIIOAIcKFmIgRWgLcjBjY1CQdG7hISBXIH8hbItCQcFHlLSBTYHchdYFPDwJITYF2RnBtHIZBuAQqA6RamfQRCIsCFOiSJysRhntwp8uyHU4/8My+KzN2aeju04F6A3Lm3CtKe5C1I2XA/FvLm3ipoe5K7oGWE8aQowLoiRUAORyBNAhQA0wRLswiETYALddgylkHjHRgQ+f4WkZajyQc9eZnIZ3eJZGUl3wZHehcgd97NgnAEeQtCFryPgbx5NwvKEeQuKJlgHD4JsK7wCZJmEPBZgAKgz6A0h0BYBbhQhzVzGTLupmoZ+PF9ktXT4T3gvCKRP3tZZFq592M5InWBpmrp+9G9ktN3zXtb5M67mV9HcM75JWm2HSdvH5Ksnqve++V8827m5xFN1dL/r/dKdi+flX6y0tbICLCuGBl3ekUgkQAFwERC/B2BDBHgQp0hiQ5xmKdf+4lMf+OLktPf6TqKvpwC6d/2nOQtvtv1Mezor8Dly5fl1I6fyIpD/9NT7vpzR0v2x/5NZP6d/g6I1lwJDAwMSO2vnpIF+/7BU970nMv+2AuStYC8uYJOw04tb22X8a/+lbe8ZRdI50d+KEWrfHjcQhpiyoQmu7u75fjLT8qyg//DU+74rMyE2RG+GFlXhC9njDgzBCgAZkaeiRKBhAJcqBMSscMICrS2tkpVVZUUt9XL0qNPSFHH6YSjaS+aLceW/LWULPqALF68OOH+7OC/gBaRKisrpb293XPu6pY/Lis++AnJy8vzf2C0mFCgqalJamtrPedNz7lp6+6TadOmJeyDHfwX6OnpkYqKCim4dNzzZ2XWtHJZu3atZPGoBP8T46LF48ePy9mzZ5M65xbd/oCMGTPGRS/sgoAZAdYVZpzpBQGvAhQAvYqxPwKWCnChtjSxFoSlRaT9+/eLFgGdbWBAxrcdkRUduyX7+MsiA33Xo8zOldbpt0vD+DvkcumKwWf+rVu3TkpKSizQCFcIupjVRe3gNjAgy4suyaS3fyFy9MWY3A1k50rLhE3SNO2+wdxNnz5dFi5cGK6gLRitFpH27Nkj+u/IOTe1q14Wte6UrDh5u1R2i5yefPdg3rRou2nTJsnNzbVAI1whaNFWi7eRvJVePiTLO3ZJ3olf3/RZ2TH7LqkdszXms1K/LJk6dWq4grZgtG1tbc6XJdGflfOym2RW86/jflaen7hZGqfeO5g7Lf6tWbOG4q0Fc8GWEFhX2JJJ4rBNgAKgbRklHgSSFOBCnSQch6VdoLm5WY4ejX0ByPz582XmzJkina0ibWdFutpFRhWLlEyVrqxRTvGir+96YXDs2LFSXl7O4ijt2breQW9vr5MH/VlbZCssLJT169dLdnZ23NwdaXhHzp07N7i/3omk+xcVFRkcOV2dOHFC9JoQven5U1paGjdvl671yYEDB2L2nzFjhixYsABMgwJ6p+2+fftiepw8ebIsW7Ysbt7684ud/Ts6rj9bNT8/XzZu3Ejx1mDe9Euu6upquXLlymCvOTk5Th5GjRoVN3dnWq5IfX19zCiXLl0qZWVlBkdOVwgMLcC6gtmBQDAFKAAGMy+MCgHjAlyojZPToQsBLeJpEamrq2tw79GjR8uGDRveKyINsZ06dUpOnjwZ81ddBOtimM2MgC5Oz5w5E9PZqlWrZPz48UMOoLOz08l3f3//4D7jxo0TPY6fJZrJmxaD9u7dK1qUiGwTJ06UFStWDDuAQ4cOyfnz5wf30XzpeapFX7b0C2i+Dh48KJcuXRrsTD8jtYhUUFAw5AAuXrzoHBe9zZo1S+bNm5f+QdODI6Bfehw5ciRGY+7cuTJ79uwhhfQzUs/Ta9euvzBEi4Waby0esiEw0gKsK0Y6A/SPQHwBCoDMDAQQcAS4UDMRgiigRTwt5kVvK1eulAkTJgw7XC0c6uJIC0qRTRfBWpBgcZT+TOuiVAt50UUkzZnmLtEWL+dafNIiFFv6BbQYpEWhyKZFJD1vtPA+3JZKztMflf09aPFVi7DR25w5c0T/SbTV1NTIhQsXBnfT4q0WkhLlPFG7/D2xQLwvufRapf7DfcmlLcfLuRYNtXjIhsBIC7CuGOkM0D8C8QUoADIzEEDAEeBCzUQImkCqd4O1tLTI4cOHY8JKdFdF0AzCOp5U7gZL9q7PsFoFadxaBNJiUPTm5W6whoYGOX069gU9ie76DFL8YR1LqneDJXvXZ1i9gjTueHerL1++XCZNmpRwmMne9ZmwYXZAwAcB1hU+INIEAmkQoACYBlSaRCCMAlyow5g1e8bc1tkj717plKvdfVKUnyNTxhbI6fpa0SJeZPP6PLjhnqvUPZB9U38lBbxtNpkZdWPuCgY6pf5YbOHV6/PghnruY+mkKeQtmSTFOebGvE0uyZfjhw6k9Dy44Z77qOf2jec451xyybwxd71t56X5ndg7pb0+Dy7ecx9Xr14tuaOLyVtyabrpqBvzNr4gWw4fqIx55IE+Z1Pd3T7y4OrVq85zHKPvto489zHedZVzzqdk0kxCAdYVCYnYAYEREaAAOCLsdIpA8AS4UAcvJ7aPSBcsuxsuyHO7T8mrR5qlr//6M8dyskTWTM6Ru2blyZLx2c5iKJk3wka/WVH7O3axX948lyNvnemI7S87S+5ZXiaf3Dxbtsyb4HrxZXuOhopvuNxlZ4msjcqdvlTA6xtho9/8HMnbjjO9UnWuj7ylMOm8nnNLliyRKVOmeOox+s3PkdxVXBwlb5xsJXeeJGN39nLO6UuPvL4RVou3FRUVzpufI3n7XdOA7DvbTd4M5S3yJVdxcbGnHuvq6qSxsdE5JpK7ytYiea3uIrnzJMnOfgqwrvBTk7YQ8E+AAqB/lrSEQKgFuFCHOn2hG/yhxivy+PZqqW1uTzj26cVZ8uiaInnw7lskL8/7XXrHjx+X3cfekWdquqSx/XqRcaiOF5UVy7e2lcuK6WMTji0Td/Cau6/dv0juKPf+NtjW1lb5z9f2kjefJpnXvD22ebx89K5NnovhWoCoqqqSmncuk7sRyt03t5XL5kXTPPfe1NQkr+49St48y8U/wOs59+U7psv9t6723LsWbbV4e+JCF7nzrMcB6RJgXZEuWdpFIDUBCoCp+XE0AtYIcKG2JpWBD+SNuhZ55LlK6ejucz3W0XnZ8vSn18vWhYmfi3Rjo68dOSuPPl8lXe67k8L8HHnqU+uS6s91UCHcMZncJWupfT387F7p7E1ctI1QJttXCFPhacjJ5C2Vc+6V6rflr392mHPOU5bi75xM7pI9D3bWnpOHn90nXX2cc6mmzmTedKw/33VUvvRSA+dcqonjeN8EWFf4RklDCPgqQAHQV04aQyC8Alyow5u7MI1c74jY9tRuT8W/6OLO9ke2eLozz3R/YcqF17GatDTZl1eHsO1v2tJ0f2HLh5fxmrQ02ZcXgzDua9rSdH9hzAljNi/AusK8OT0i4EaAAqAbJfZBIAMEuFBnQJJHOET9aeA9T+x09bPfoYa6uKxEXnlsq6ufJZrub4R509q9SUuTfaUVLQCNm7Y03V8AiNM2BJOWJvtKG1hAGjZtabq/gDAzjBAIsK4IQZIYYkYKUADMyLQTNAI3C3ChZlakW2BX/Xn5+DMVKXfzwsObZcv8CQnbMd1fwgGFeAeTlib7CnFKXA3dtKXp/lwhhHQnk5Ym+wppOlwP27Sl6f5cQ7Bjxguwrsj4KQBAQAUoAAY0MQwLAdMCXKhNi2def597vlJernk35cD/cOVU+d4n1iZsx3R/CQcU4h1MWprsK8QpcTV005am+3OFENKdTFqa7Cuk6XA9bNOWpvtzDcGOGS/AuiLjpwAAARWgABjQxDAsBEwLcKE2LZ5Z/bV19kj5V/9L+vrdP1x+KKGc7Cyp/soHpaRg6DcCm+7P5myatDTZl80509hMW5ruz+b8mbQ02ZfNOeOcsz27xOdVgHWFVzH2R8CMAAVAM870gkDgBbhQBz5FoR5gXXObfPDbO32L4TeP3yYLJpcM2Z7p/nwLLIANmbQ02VcAqX0dkmlL0/35ihWwxkxamuwrYMy+D8e0pen+fAejQasFWFdYnV6CC7EABcAQJ4+hI+CnABdqPzVp60aB6jOX5SPf+71vML/4/K1SPrN0yPZM9+dbYAFsyKSlyb4CSO3rkExbmu7PV6yANWbS0mRfAWP2fTimLU335zsYDVotwLrC6vQSXIgFKACGOHkMHQE/BbhQ+6lJWzcKmL5TwXR/NmfcpKXJvmzOmcZm2tJ0fzbnz6Slyb5szhnnnO3ZJT6vAqwrvIqxPwJmBCgAmnGmFwQCL8CFOvApCvUA/XzOVG52luw3+AxAN/2FOjkJBm8ydyb7sjlnGptpS9P92Zw/k5Ym+7I5Z5xztmeX+LwKsK7wKsb+CJgRoABoxpleEAi8ABfqwKco9AM0/bZC0/2FPkHDBGDS0mRfNudMYzNtabo/m/Nn0tJkXzbnjHPO9uwSnxcB1hVetNgXAXMCFADNWdMTAoEW4EId6PRYMbhd9efl489UpBzLCw9vli3zJyRsx3R/CQcU4h1MWprsK8QpcTV005am+3OFENKdTFqa7Cuk6XA9bNOWpvtzDcGOGS/AuiLjpwAAARWgABjQxDAsBEwLcKE2LZ55/Q0MDMg9T+yU2ub2pINfXFYirzy2VbKyshK2Ybq/hAMK8Q4mLU32FeKUuBq6aUvT/blCCOlOJi1N9hXSdLgetmlL0/25hmDHjBdgXZHxUwCAgApQAAxoYhgWAqYFuFCbFs/M/g41XpFtT+2Wju4+zwCF+Tmy/ZEtsmL6WNfHmu7P9cBCuKNaPvCDXXKtt9/z6L3mjrx5Jh7yANOWpvvzTyp4LanlR3/we+nsHfA8OM45z2S+HeB8Vj65S671pP+zUgfNOedb6mjIRwHWFT5i0hQCPgpQAPQRk6YQCLMAF+owZy9cY//5rqPypZcapMtDDVAXs099ap1sXTjJc7Bv1LXII89Veio6jsrJkmc+s15uWzTZc3+2HtDd3S0/fPH38p3KDiO5Sy5vIt95YLncWz7H1jQkFdfzv62Ur+5410jedIDJ5K4gV8+5DUmd40mhhOCgy5cvy09/Uynf3d9pJHfJ5G1UjsiTn1grdyybGgJRM0PUu/J+9NIu+cbuy0byluw5NzovW57+9HrOOTPTIuN6YV2RcSkn4JAIUAAMSaIYJgLpFuBCnW5h2leBnp4eqaiokBMXuuSZmi5pbE98Z4v+7Peb21Z7uvPvRm29Q+Lx7dWufn48ozhLHlo5Su7esFSmTZtG4t4XOH78uJw9e1bevtJnLHfJ5G3ljFJZu3atq5+JZ0JyW1tbpaqqymje1DWZ3P3JHRtkzJgxmZCWhDFqEamyslLa29uN5i6ZvG1ZMkMWL16cMKZM2aGxsVHq6uqM5i2Zc+6RNUXy4N23SF5eXqakhjgNCrCuMIhNVwh4EKAA6AGLXRGwWYALtc3ZDU5stbW10tTU5AxIF7jHLvZLVVuR7Ki9KH3914uBudlZcs/yKfLJzbNl87zxvhRztL+3Gi7Kc2+9Lb8+3HxTfxum5stt07Jkyfhspz9dFG3atElyc3ODAzhCI2lra3OKEZFNLc9Jqbze1B/X0s/cJcrb1nljZOO4rsG86Ri1GDF1Knckqd3+/ftFi4CRc67uikhVW7H819GWET/n1pblyB0zcgdzp8W/NWvW+HK+j9Cp4lu3WmzXonv0Odc2eqq8Un91xM+5LTML5ZbJfTHn3Lp166SkpMS3+MPakH7JtWfPHufLrsg5d+pavlRcLJBXj9x83fHzszLS33DXuTWTs+XOmXmDudMvuRYtWhRWbsYdYAHWFQFODkPLaAEKgBmdfoJH4LoAF2pmQ7oF9E6Wffv2xXQzefJkWbZsmbR19khza6e0d/VJ8agcKRtTICUF6bsrZcqoeQAAIABJREFUIV5/vdfa5cCBAzHjmzFjhixYsCDdNIFuX4tI1dXVcuXKlcFx5uTkyMaNG2XUqFFGcxcvb0X5Oc686ujoGBxffn6+M75ML942NzfL0aNHY+bX/PnzZebMmUbzpgOIl7vLLe9KfX19zPiWLl0qZWVlgT4n0j243t5ep4ikP7uPbIWFhbJ+/XrJzs42mrt4ecvP6nfG19d3/TkOY8eOlfLy8owv3p44cUL0f09Fb+pSWlpqNG9DnXNnGurk3LlzMePbsGGDFBUVpXta036GCbCuyLCEE25oBCgAhiZVDBSB9ApwoU6vb6a3rkWkgwcPyqVLlwYpdCGrRZqCgoLA8Bw6dEjOnz8/OB69E1AXR7r4ztRNF4tHjhyJCX/u3Lkye/bswJBcvHjRmV/R26xZs2TevHmBGaPpgWhxRos0XV1dg12PHj3amc967gVh6+/vl71798q1a9cGh6NFZf1c0CJzpm4NDQ1y+vTpmPBXrVol48ePDwzJqVOn5OTJkzHjWb58uUya5P05rYEJKsWB6JcQOp/1ehfZJk6cKCtWrEixZf8O7+zsdD4X9NyLbOPGjROdX3q9Y0PALwHWFX5J0g4C/gpQAPTXk9YQCK0AF+rQpi4UA9eimhbXorc5c+aI/hOkTQsRujiKXsDpolsXR5m4xSsiacFWCzRBKSJF8lJTUyMXLlwYTJMuZnWcWvTKxE2LM1qkid60EKEFiSBt8T4btLisReZM3OJ9Bk2YMEFWrlwZKA4tIOlnpRaUIpt+NmiBOVOLt/olhH4ZEdmC+hkUls+GQE14BuNZgHWFZzIOQMCIAAVAI8x0gkDwBbhQBz9HYR1h2O7yCcPdN6bmQpju8gnD3Tem8hamu3zCcnewqdyF6S7klpYWOXz4cAxN0O4ONpU3/fJBv4SI3oJ6F3IY7g42lTf6SZ8A64r02dIyAqkIUABMRY9jEbBIgAu1Rcm8IRR9htO7Vzrlanef6PPSpoxN7/P1pLNVpLVJpPuqSH6RnGntl/p3Yp855NdzvtIR27DP3+puj4lNxkwTKUjPW0vTEduws/yGvHUVTJSK6iMxPxXT51itXr3al5+KpSO+eM/f0vGOG51jLG9qnI7YhszdDXnTOXm4/oxocSay6Z1I+vw4P57zlY7Yrl696jzHMfrO28jzQW/8PLH5nLvUXygHjjXEpNqv55CmI2/DPh90oCtjzrn+kimyr6Y2bc8hTUfu4j0fVB+ZMGtyqb15s/d/5gUyMtYVgUwLg0JAKAAyCRBAwBHgQm3XRNCF2e6GC/Lc7lM3vXkwx3nDbpnzht0t8yb4UswRfebR22+I7HlG5NhLIgPXHw4/kJUtLRM3S9O0++Ry6UoZM3ZsSm/6NBFbzBs4Bwak9HKNLLqyUwpP7YiJTbJyRJbeL7LhIZE5W0VSfIaSidhiZvqwecuRlombBvOmsWkRqbi4OOmTJd3xafG2oqLivTdwvp+3Wc2vyrjmXZIVNSf9zpuCpDu2VPI2ffp0WbhwYWDzpgOrq6uTxsbG98b4fu6WX90lefWvZtA5F/tZmZefn9KbyE3MyZiXO72ft3kXdsiYxp1pzVvQz7klS5bIlClTAnvOxbwh/P28zWj6lUw4X2HXZ2XSGeDAVAVYV6QqyPEIpEeAAmB6XGkVgdAJcKEOXcqGHPChxivy+PZqqW1uTxjUorJi+da2clkxfWzCfYfcoala5OePirTEvm003v5XC2fJwB8/KcULb02qP1Ox6eKoqqpKBpqqZenRJ6SoI/aB/HEHP2mpyB8/KTKtPNCxDQ7OY95atn5N5mz5o6Ri+//ZOxPguI7zzv9nBvdFECQBAuB9kwBJ8CZl0VpJpdOyrcQWV4dlxVtWyUc51iqV2MlWxVsuZ7Nbjh25srZFS46skmVl6UrsxBIt0Q5lUTIpkAQIkuABgAAFUgAFAsQNEPdsfSMOOEMO8I5575vuN19XsRQH/fr7vt+/+/Xrb/r1o4u4tGttbUVr1W/ZdOOMLQTfom715X+B8rseQ2qqva9qc+lGSVtK3mZ01bFpxxWb3TE3eO/3MWfdXbbGHGdsdXV16Kt/l0031cdc86a/weo7Hrb94xqXdr29vah/+5fe1c3WyJGLnCIg6wqnSEo7QsBZApIAdJantCYEtCUgE7W20kU5/k5DO556uQqDI9d34BlFlpUWwO7HN2Hnchtfb2zcD/zL54DRASMz1/+emg08/HNg6R3mrwHAHdvAid8g49dfRGDi+iH3hg5rEhts6BZMzYLv4Vcs60bMOLULntuPiVcfQWDcfd24Y7Oj20RKJvyP/EJ53Yhl+3t7ULDvazLmrt1ogqnZ8Glwrxyt2wf/nsdlzE3qpse9ku4nE68+Cv/Y9a9wuzXHsd8rDQORCm4TkHWF24SlfSFgj4AkAO1xk6uEgOcIyEStv6S0a2DX7kOWkn/hqCkJuOepHdZ2AtJOpBfvt5b8CxukRNkX9preLSexxe6fqutGXrNqx9gnJbap75l2+2Xwxfvhs/JjgtxPbhKBdbyRdRlzsQeCxTlO7icO30/0f6TTPgJZV2gvoQTgUQKSAPSosBKWELBKQCZqq8TUqk+vrN7z7AFTr/1O5fnKoly88fROc68t0dlxP9ph6rXfKUkVrgG+fNDw3DyJbfq+pqpu5DWrdox9UmIzvv+p2i9Z++RHHUXuldN1F5PzgIw5B8ccY59k180Yk9RgIiDrCibQYkYIWCQgCUCLwKS6EPAqAZmoE6MsLUbpC53xloONHXj0+cp4m8GrT27HjqWzjNs5fwB46ZPG9YxqPPEasHjntLUkNiOIUFI38ppVO8Y+KbEZ90mqIfcTAIz9knW8kcCMscmYc3DMeVk3A0xOPXOZUyO5a8m6Irn1l+jVJSAJQHW1Ec+EACsBmah5cNPDJx12PzQ0hPPnz4e+qDp//vy4jf/5/zuON05djrud+8qK8IP/us6wnZR/+2/wn/2NYT2jCuOrPoXxP/3ptNUkNiOKgIq6kdec2nH2SYnNuE9SDRX7JWefJAac/dLLscmYc27McfZJbt2MKF24cAEDAwNYvHgxMjIyQh9HcuJHWCO7yfh3WVcko+oSsw4EJAGog0rioxBgICATNQNkAFevXsUbb7wB+vpe+Jfo0tJSpKSk2Hbg6lgQX/3PQUwEbTcxeaHfB/zwzixkpky9KzEwNohb330MPkzEbTAIP9699RWMp2TFbEtiM4dYNd3Ia07tOPukxGauT1It1folZ5+k+Dn7pZdjkzHn3Jjj7JPcuhlRGhsbQ0tLy+SzV15eHu69915kZmYaXSp/t0FA1hU2oMklQoCBgCQAGSCLCSGgAwGZqHlU6uzsxH/8x39EGaNdgLNnz7btQEv/BP7Huxa+4mdg6X/dmomSHP+UtbIGLmDrka/Z9vfGCw9v+b8YzI69C1JiM49ZJd3Ia07tOPukxGa+T1JNlfolZ5+k2Dn7pZdjkzHn3Jjj7JPcuhlRam9vD+3+iyyf/vSnMXPmTKNL5e82CMi6wgY0uUQIMBCQBCADZDEhBHQgIBM1j0ojIyOhBGB/f3+UweLiYqSnp9tyoql7HN9+b8jWtbEu+tvtGViSH5iyvdzeemyq/kvH7FVt/C768lbEbE9iM49ZJd3Ia07tOPukxGa+T1JNlfolZ5+k2Dn7pZdjkzHn3Jjj7JPcuk1HaXh4GJcuXYqqQj++fupTn0JaWpo1wFLbFAFZV5jCJJWEADsBSQCyIxeDQkBNAjJR8+hCCcB33nkn9BrKxMT1V2gp+Td37lxbZ9F4eeeHxGa+X6q004q85tTOy7tavBwb9RPO+Dj7pMRm/t5FNafbCS73E2ssp5sLOMcbt25TUaLjVj788ENQEjBc6Ny/efPmYefOnZIAtNa9TNeWdYVpVFJRCLASkAQgK24xJgTUJSATNY824Y+AEG/6CEhkWblyJQoLCy070j80hi3/+w8Yd+AQwBS/D4e/+V+QkzHNmYTDfUj9/nL4guOWfb3xgqA/BaP/vR5Iz43ZlsRmDrFqupHXrNox9kmJzVyfpFqq9UvWPkkAGPull2OTMefgmGPsk+y6TYHp8uXLqKuri/orfQSEEoDyERDzfctqTVlXWCUm9YUADwFJAPJwFitCQHkCMlHzSkS7/44cORL6KEi40C7ArVu3IhCY+vXbqbz8yitV2Hvyw7iD+MTaYvzwsY3G7ez5PHD6343rGdVY8yCw66Vpa0lsRhABFXUjr1m1Y+yTEptxn6QaKvZL1j5JEBj7pZdjkzHn4Jhj7JPsut2AaXx8HIcPH47a/Ucf/diyZQv8/qnPOjZHW2pNR0DWFdI/hICaBCQBqKYu4pUQYCcgEzU7cnR0dKC2tjbK8MKFC0G/TFstBxs78OjzlVYvu6n+q09ux46ls4zbOX8AeOmTxvWMajzxGrB457S1JDYjiICKupHXrNox9kmJzbhPUg0V+yVrnyQIjP3Sy7HJmHNwzDH2SXbdbsBEb1o0NzdH/X/Ly8vj+vCaOSWklqwrpA8IATUJSAJQTV3EKyHATkAmanbkoNeBT5w4ga6urknj9Is07QLMyMiw5BC1dc+zB1DfFv1xESuNrCzKxRtP7zR3DmEwCPxoB9B+xoqJ6LqFa4AvHwR8vmnbkNimR6yqbuQ1q3aMfVJiMx72qvZL1j75UUeRe+V03cXkPCBjzsExx9gn2XWLwDQ0NBTa/Rd53jJ98XfdunXmnnOMkUuNaQjIukK6hxBQk4AkANXURbwSAuwEZKJmRx4yODAwgKNHj4YSJeFC5wCuWbPGskO1LT3YtfsQBkesn82XlRbAnqd2oLx0hnm7rTUY/+m9CIxff43Z9MWp2cAX9gIlFaYuSURsePF+YHTAlH9RlTSILfjiffCNDroeGxlg1a61Bly6JSK24Iv3w8fQJ9ljI4OM2rH2yWuxTfzzvfCPyb0ynnsle79srYHcK2NMExbnOHbdrrl86tQptLe3TwZAH/7YvHkzsrOzrc99coVlArKusIxMLhACLAQkAciCWYwIAfUJyESdOI0aGhpCXwWOLBs2bMCMGRaScdcufqehHU+9XGUpCUjJv92Pb8LO5XMsQeju7kbz/p+hvPbvEZgYMn8tLR4e/jmw9A7z1wDgjC3kWON+4F8+ZykJOJGSCf8jv1A6Nko21/92N5Yd/RaLboSSVTsbuo0HMjCx62WkrrzbUp/kjq39vT0o2Pc1b+rm4TFHX3+v2/sc1pz4OxbtWMebTd1ozPkfeRW+ZdbmAe4xd+Gtn6H0nW+w6MYdm505btyfgaEHX0D2OutHgHD2S3o+qampibqfl5aWYvny5Zbv8XKBPQKyrrDHTa4SAm4TkASg24SlfSGgCQGZqBMn1OjoKCorKzE2NjbpRG5uLjZu3GjrNRXa3fLMnhpTrwPTa3rf27Xe2s6/a692VlVVob+/Hzl9jVh95llkD14whkivez34Y9M7/25skCO2KJu0K+lXXzL1qnN/9kKcXfV1rLjtIeTl5RmzuKEGV2ytra2or69n1Y1C5YovhNWGbrkrbgV9idtO4YgtfJ/I6KpjG2/sutnQrqHsGZTf9Vjoa55WC4du5BN9gfTSpUusY44rtknmNsZcyab7UFJSYlW2UH2O+Hp7e1FdXc2qG1ds8ejmK6nQ5vkkHGdKSgq2bdtm6z5hq4PKRZB1hXQCIaAmAUkAqqmLeCUE2AnIRM2OPMog8T937lzU/4+SEcXFxbYco11e7zV14uX33sebp9owPnH9FeMUvw/3lM3F57YvxPYlBbaSjLSYpUXtZAkGUZbdhTnv/xo48xoQjHgN2Z8CrHoA2PJFYNGthmf+GQXsdmw32afXs99/Fzjy/E2xBf0p6Ji9HS3F96I7vzwUGyX/aAcnvW5ktbgdGyWR6Ewk+m+oBIMoHm7Eit4D8Lms20fm3O2XUbyn0Q3+FPSW3oamgtsndaNrN23aBEq+2ylux0ZJW0rehnXL765F2eBBpJ5709Xxxq7btX453Zhrn7UNrSX3TWoXz84et3Xr6+sD/VgSea9c4m/FgrY3k+5e2VV0Cy4U3j2pGyVtKSlDyRk7xU3tqO1jx46BkoDhMVfQdxrlg4fgr9vrrTFncK8cXHgn6vN2Rt0rtXo+AbBs2TLMmzfPTjeTa2wSkHWFTXBymRBwmYAkAF0GLM0LAV0IyESdWKXokGo6C3Bw8Pq5bGlpaaEPgthdHIUj6hsaRVvvEPqHx5GTHkBRXgZyM6zvlgm3RzsVKYlEr7WFS1ZWVuhsHfqICYZ6gb5LwHA/kJ4D5BYDGdZ3xJlRxOnYDG3GiO1iew8aGxujLl29ejWKiooMm5uughuxUZKZxnpkqaioQH5+PqtuZN+N+KbkGUO3YV96qB+Pj19PVtNr98TDTvI20rbTsdFOW7o/RJbJs0IZxxu7bmQwRnynmz7A5cuXJ3E4dbaX07pREoleQ+zp6Zn0NRAIhO7r6enprGPO6dgMb24xdOu6Oo7jx49HXUpJGUrOxFucjq+trQ1nzkR/5Grp0qWYP38+q27sYy6GbhNpOd55Pom3o8n1pgnIusI0KqkoBFgJSAKQFbcYEwLqEpCJOvHadHZ2hr4KHFkWLFiAJUuWJN65CA8o2XXx4sUon+iregUFBUr5yeUMJW+PHDmCq1evH/BPi3ta5NNiX5VCyWXyM/KDM7Nnz0Z5ebkqLrL70dzcjPPnz0fZpQ/wUHJNleLk18JViSleP3T5uiclKU+fPh0V7uLFi7Fw4cJ4EWh7fW1tLTo6Oib9p+Ttli1bQD8iqVLoRwH6cWB4eHjSpczMzJCfoR+5krDI80kSih5nyLKuiBOgXC4EXCIgCUCXwEqzQkA3AjJRq6HYyZMnceXKlajFESWSaPGhQqEkFy2MIpNIs2bNwtq1a1VwL2E+0IKWFraRhRb5tNhXpVBymRZx4UILWVrQqtK3EsGJFvqUFKWEUrhkZGSEuKiSvI3VtxYtWgT6l8yFEreUwI0slMympLYKJVYSifoW3c+TNYlEuugwh8TqWzTH0VyXzEWeT5JZfeuxy7rCOjO5QghwEJAEIAdlsSEENCAgE7UaIqm+S0uH3RuJUFL1XVqUVKbFW2RRcXdpIrRrb2/HqVOnokyrsktLl92lidBN9V1asXaXlpWVYc4ca19bTwRbt202NTXhwoXoj0apsotcl92lbmsUq315PkkEdX1tyrpCX+3Ec28TkASgt/WV6ISAaQIyUZtG5XrFWOe0rV+/HimZOfiwZwgDI+PITgtg7oz4zvIzCoTOVIq0lxEcQuPZ6ESJU+c3Gfmiw98HBgZC5yRF7o4Mn9N2I0s3tbvRVmFuGupqj7tyvqQOuhj5ON05bSNBf0LH3FhfB9o+iN7l5sT5kkZMdPn7VOe05c+Zm1DdCjL8OHW8CpTADRc6Z5Pu4/GeL6mLNtP5Od05sjS/cc1zse7LFxrrQT8KhItT50t6QTeKQZ5PvKKk+3HIusJ9xmJBCNghIAlAO9TkGiHgQQIyUasjKi2OKisrQ19qpeTE2c4J/KE1iKOXRqK+5hsIfc23KPQ13x1LZjmysCR7h5qu4OVDzdh3OvrrwX4fsLEwgDsXpGJVgR/0kZJ4vuCoDnHnPGloaEBLS0uowbB2Vb3ZeKuh01XtptMt4AM2ROhGC9pVq1Zh7ty5zgWueUuRX2oN6/bu5QDeuzjoqm7hfmJ2zNFHSux+YVpziWK6H/ml1rBu+y+OofryuFK6hZNIOTk5XpTBVkyRX5IPa1fZmY53zve6qp3Ve2U8X5i2BUbxi+T5RHGBFHJP1hUKiSGuCIEIApIAlO4gBIRAiIBM1Gp1hNbWVuw7cgbPnxxGS3/Q0LkVRTn4/q4KlJfOMKw7VYXalh48s6cG9W39hm2U5vjwnQdW4PaK+L/eaGhMowqUtKXk7bkrw2zaWdXt6e0F+Oyd2xxJGGskjaGrdXV1OHT2AzbdyCGr2n1vVwW2rygxjCWZKvT29uLf3jqitG5/fXspHvjY+mSSxTBWSsRVV1fj5AfdbNpZHW9f2pCNh+++BampqYbxJFMFeT5JJrXtxyrrCvvs5Eoh4CYBSQC6SVfaFgIaEZCJWi2xDtRfxpMvHcXwuHHyL+x5VloAux/fhJ3LrZ8x9U5DO556uQqDI+OmQcRjz7QRDSv+6uAZfPP1JgybRwm7LO3olpnqx08+v9lWP9FQDtMuv3X6Er70SjWLbuSUHe3s9hPTEDSsSByffOkIhsbkXqmbfG/UvI+v//IUy5izM97kXhm7R8nziW4jLTH+yroiMdzFqhAwIiAJQCNC8nchkCQEZKJWR2japbBr9yFLybjIJOCep3ZY2gnIbU8d0s57wsmS05bzpNRqkZsltz21aDvnDTdHbnvOkVKvJU6WnLbUI+2sR9wsue05Syu5W5N1RXLrL9GrS0ASgOpqI54JAVYCMlGz4p7SGL0Wdc+zB0y9hjtVIyuLcvHG0ztNveLJbU8Nyu54wcmS05Y7tNRplZsltz11SDvrCTdHbnvO0lKrNU6WnLbUouy8N9wsue05Tyy5W5R1RXLrL9GrS0ASgOpqI54JAVYCMlGz4p7S2MHGDjz6fGXczrz65HbsWDrLsB1ue4YOaVyBkyWnLY0lMeU6N0tue6YgaFiJmyO3PQ0lMe0yJ0tOW6YBaFqRmyW3PU1lUdZtWVcoK404luQEJAGY5B1AwhcCYQIyUavRF77yShX2nvwwbmc+sbYYP3xso2E73PYMHdK4AidLTlsaS2LKdW6W3PZMQdCwEjdHbnsaSmLaZU6WnLZMA9C0IjdLbnuayqKs27KuUFYacSzJCUgCMMk7gIQvBCQBqE4f6BsaRcW3f4fxCfOH2U/lfcDvQ83f3oXcjKm/XshtTx3SznvCyZLTlvOk1GqRmyW3PbVoO+cNN0due86RUq8lTpacttQj7axH3Cy57TlLS1ojApIAlH4gBNQkIAlANXURr4QAOwGZqNmR32Swoa0Pd/3jAccc+f0zH8eywtwp2+O251hgCjbEyZLTloKoHXWJmyW3PUdhKdQYN0duewqhdtwVTpacthwHpViD3Cy57SmG2xPuyLrCEzJKEB4kIAlAD4oqIQkBOwRkorZDzdlrai5248Ef/tGxRn/91Y+hYn7+lO1x23MsMAUb4mTJaUtB1I66xM2S256jsBRqjJsjtz2FUDvuCidLTluOg1KsQW6W3PYUw+0Jd2Rd4QkZJQgPEpAEoAdFlZCEgB0CMlHboebsNdy/eHPbc5aWWq1xsuS0pRZl573hZsltz3liarTIzZHbnhqU3fGCkyWnLXdoqdMqN0tue+qQ9o4nsq7wjpYSibcISALQW3pKNELANgGZqG2jc+xCJ8+8SfH7cIzxDEAz9hwDpWBDnNpx2lIQtaMucbPktucoLIUa4+bIbU8h1I67wsmS05bjoBRrkJsltz3FcHvCHVlXeEJGCcKDBCQB6EFRJSQhYIeATNR2qDl/DfdX77jtOU9MnRY5WXLaUoewO55ws+S25w61xLfKzZHbXuIJu+cBJ0tOW+4RU6Nlbpbc9tSg7B0vZF3hHS0lEm8RkASgt/SUaDQm4PP5THl/22234Q9/+IOpulYqyURthZZ7dQ82duDR5yvjNvDqk9uxY+ksw3a47Rk6pHEFTpactjSWxJTr3Cy57ZmCoGElbo7c9jSUxLTLnCw5bZkGoGlFbpbc9jSVRVm3ZV2hrDTiWJITkARgkncACV8dApIAVEeLRHoSDAZxz7MHUN/Wb9uNlUW5eOPpnTDTp7jt2Q5Kgws5WXLa0gB9XC5ys+S2FxcchS/m5shtT2H0cbvGyZLTVtxgFG+AmyW3PcXxa+eeJAC1k0wcThICkgBMEqElTPUJhJM1X/7yl/GVr3xlSoezs7OxePFixwOSidpxpLYbrG3pwa7dhzA4Mm65jay0APY8tQPlpTNMX0v2HvrxQVwdmzB9TbiiHXuWjWh0Aad2nLY0ksCWq9wsyd5nf/xHDI0FLfsrY+46skTo9tBzB3F1VO6VljvuDRdwasdpK14uql/PzVKeT1TvEVP7J+sKfbUTz71NQBKA3tZXotOIQDgB+K1vfQv/83/+T3bPZaJmRz6twXca2vHUy1WWkoDpAeC5xzbi9jXFloIZGRnBC6/9ET+oGsSwhZwjJSJ2P74JO5fPsWTP65XtaJeZ6sdPPr/ZMstX/rMK397/oejmQKeyo1t6wIfnn9iMj68otORBd3c3fv77KvzTsSHRzhK5myvb0w34wUNluLdikSXrtCPpp68fxHcPdYtulsjFrmxHu4wUGnNbLN8rf3XwDL75epPoliDd5PnEAfCaNSHrCs0EE3eThoAkAJNGaglUdQKSAFRdIX7/6JfvZ/bUmHodeF6OD19cm44dq+Zh5cqVlpytq6vDpUuX8H7POJ4/OYyWfuNdSfSa8fd2rbe009CSU5pXtqrdUxuy8fDdtyA1NdV05L29vaiurhbdTBMzrmhVNxpzd29ZjZKSEuPGr9WgJFJVVRX6+/tFO9PUpq9oR7e18/KxceNGU0clhK23tLSgoaFBdHNIN2rGjnZ/evsW5OXlmfZidHQUlZWVOHdlWOY409ScH3PyfOIQfE2akQSgJkKJm0lHQBKASSe5BKwqAUkAqqpMYv2iZMF7TZ14+b338eapNoxPXE/Opfh92DE/C7cUjmNVgX9yIbtp0ybk5uaacryvry+UjAgXsncZ+Xi7dSKmvXvK5uJz2xdi+5ICSwtnU854rJKRdhsK/bhjfuqkdpREWrFihSkK1PaxY8dASUAq9L8beoDqvhz87kz7Tf1EdDOFdZLldGNuS3EaPl7im9SNkrbbtm1DSkqKKSOUbKeke+SY68ssxhuNAzLmTBGMXclovO1ckoetM4ej7pX0Y0lxsbkd05REOnz4MOi/4THXfDUNlZ0Z2Hf65nuzjDnzYhppt7EogNvnpUxqR8lyzqm0AAAgAElEQVS/DRs2mJ6D6uvr0draOqnb2c4JVPdlY399p9wrzct0U00j3eT5JA64HrhUEoAeEFFC8CQBSQB6UlYJSkcCkgDUUTVen/uGRtHWO4T+4XHkpAdQlJeBNN9EaFE6Pn793d0ZM2agoqLCcHFED+81NTXo6emZDCQQCGDr1q1IT09HLHu5GeZ3qPHSUdtaLJYXmxpw+fLlKMe3bNkCOufTqLS1teHMmTNR1ZYuXYr58+eLbkbwLPw9lm5jV/tx/PjxqFbmzZuHZcuWGbY8NjYWGq/02n24ZGVlYfPmzfD7/aKdIUFzFWLplp0WwNGjRzE4ODjZSFpaWuh+ZyZ5e+7cOdCCNrLQfTY/P190MyeLqVqxtOtu/xCNjY1R169evRpFRUWGbdJOW9I9shQWFmLNmjWimyE98xXk+cQ8q2SpKQnAZFFa4tSNgCQAdVNM/PUsgXACkB5KaZF44cKF0KJk7ty5uOWWW/Bnf/ZnuP32212LXyZq19C63nBzczPOnz8fZaesrAxz5kx/Nh8ln06fPh11HX1gZuHCha77LAaAoaGhUDJoYuL6BwVmzpyJdevWTZu8pWQvXTc8PDyJMTMzE5Q8pCSSFPcJ1NbWoqOjY9IQ3b+JPyXzpitNTU2he3tkIb0LCgrcd1osoLOzEydOnIgisWDBAixZsmRaOpQ0PHLkSGinbbjMnj0b5eXlQpWBAN0jif/Vq1cnrdGPVJS8pR+tpiqkF+nd1dU1WYXukXRdRkYGg+diQp5PkrcPyLoiebWXyNUmIAlAtfUR75KIQDgBOF3IDz74IH72s5+BdnhZLTfuXLjxenotjR6KqVy8eBG0o0WKHgRocUQJIUoohQstbighMdXiKFYSia6hPiBJJD7dKXFLC6TIQkkFSi5MVexcwxdRcliiRASNuciEECXxKJk3VYl1zaxZs7B27drkgKZIlCdPnsSVK1cmvaG5l+57lESfqlASiZKH4WLmGkXC9YwblHCnxHtkoR+r6EerqUqsaxYtWgT6J4WHgDyf8HBW0YokAFVURXwSAoAkAKUXCAFFCNBrf5/61Kdw5513YtWqVcjJyUF7ezvefvttPPfcc5MLlttuuw2/+93vLH0sgEI0k2AMo5AEoCKdwoIb1FdOnToVdcV0u/ns/ipvwSWpaoKA1d18dncNmnBFqlgkYHU3n91dgxbdkuoGBKzu5qNkISUNI4uZXYMihLMErO7ms7tr0FmvpTUiIM8nydkPJAGYnLpL1OoTkASg+hqJh0lCoLu7O3SWUKxC533dd999oUP/qfzgBz/An//5n1siIwlAS7i0qzzteX7BYaC3FRgZANKyMZwxG5U1p6NePaW+t379ekuJYu0gKepwrPP86JXEBYX5UbohrwSnGi+GFlPhQuOazo8zc26gouFr69a05/mN9Edp1zWRheNnm6JiNXtuoLaAFHY81nl+dP+bmRmI0m0idy6Onqy3fW6gwgi0dG1gYCB0nl/kztvweX4Y6o3S7mLvBBo/iD5j1ey5gVrCUdhpeT5RWBwXXZMEoItwpWkhEAcBSQDGAU8uFQKcBGi3CT280uHxdNh8Q0ODJfPyCrAlXFpWjjrsPBhEfvdJLLmyH3ktB4Dg9Y+EBH0BtM/ehtaS+9Cdv5a2h4aSSLTrVAo/gagv+l7TbV7rbzGroxI+A91KS0uxfPlyfqfFYohA1Bd9r2m3oucAspr33zDm/GifvX1yzKWmpVn6crDgdpYAJW8rKys/+qLvNd0WtO3DzLaDhmOOdujT2bxSEkOAnn1aWlo+Mn5Nu7KBg0ht3DftmMubMcPSl4MTE513rcrziXe1nSoySQAmn+YSsR4EJAGoh07ipRAIEXjggQfw+uuvh/5vegAuKSlxjIxM1I6hTGhDdXV16Kt/F6vPPIvsweiPDcRybCBrAdp3fgeLdnw6oX4nu/He3l7Uv/1LS7rVl/8Fyu96zPJxAMnO2sn4KXlbXV2NYGuNJe0G7/0+5qy7y0lXpC2LBFpbW9Fa9VtLujVv+husvuNh2SltkbWT1SlpS8nbjK46S9oF/+Q55Cz/mJOuSFsWCcjziUVgmleXdYXmAor7niUgCUDPSiuBeZHAX/3VX+G73/1uKDQ6gJ4+8uBUkYnaKZKJbWe0bh/8ex5HYPz6B0GMPAqmZsH38CvA0juMqsrf3SLQuB8Trz4K/9j1r1wamZpIyYT/kV+IbkagXP77wInfIOPXX0RgwsqYy4bv4Z+Ldi5rM13zwXM05h6Re2UCNbBruv29PSjY9zVLYw6p2YCMObvIHblOnk8cwahNI7Ku0EYqcTTJCEgCMMkEl3D1JvCXf/mX+Id/+AdJAOoto3vet9YAL94PjA5Yt0GLoy/sBUoqrF8rV8RHQHSLj18irxbtEknfvm3RzT67RF/ZWoPgi/fDJ/NcopWwZl/GnDVeHqgtCUAPiCgheJKAJAA9KasE5VUCn/jEJ7B3795QeDSx0vlfThWZqJ0imaB2gkHgRzuA9jP2HShcA3z5YOhMQClMBEQ3JtAumBHtXIDK0KToxgDZJROinUtgXW5WdHMZsJrNy7pCTV3EKyEgCUDpA0JAEwL0ERA6fJzOv6EvhDY2NjrquUzUjuLkb+z8AeClT8Zv94nXgMU7429HWjBHQHQzx0nFWqKdiqoY+yS6GTNStYZop6oy0/sluumpW5xey7oiToByuRBwiYAkAF0CK80KASsEfvOb3+C+++5DSkpKzMva2tpCfz927Fjo79/73vfwzDPPWDFhWFcmakNEalfY83ng9L/H7+OaB4FdL8XfjrRgjoDoZo6TirVEOxVVMfZJdDNmpGoN0U5VZab3S3TTU7c4vZZ1RZwA5XIh4BIBSQC6BFaaFQJWCCxatCi0s+8zn/kMduzYAfrfmZmZ6OjowB/+8Ac899xzuHLlSqjJW2+9Fb///e+Rnp5uxYRhXZmoDRGpW2GoF/g/i4DgePw++gLAN94HMvLib0tamJ6A6KZvDxHt9NROdNNTN/JatNNTO9FNT90c8FrWFQ5AlCaEgAsEJAHoAlRpUghYJUAJv+bmZsPLKEH4wgsvID8/37Cu1QoyUVslplD9y2eBH21zzqGvHgbmrHSuPWkpNgHRTd+eIdrpqZ3opqdu5LVop6d2opueujngtawrHIAoTQgBFwhIAtAFqNKkELBK4O233wb9O3ToEOisP9r519vbi5ycHMyfPx+33HILnnjiidDuQLeKTNRukWVo94Mq4IU7nDP0xf3AvE3OtSctxSYguunbM0Q7PbUT3fTUjbwW7fTUTnTTUzcHvJZ1hQMQpQkh4AIBSQC6AFWaFAI6EpCJWkfVrvksv7DrKZ7opqdu5LVop6d2opueusmYE93CBOQNBW36gqwrtJFKHE0yApIATDLBJVwhMBUBmag17htOnrHjTwH+6rycAcjRHUQ3Dsru2BDt3OHqdquim9uE3WtftHOPrZsti25u0lW6bVlXKC2POJfEBCQBmMTiS+hCIJKATNSa9wf5yp6eAopueupGXot2emonuumpm4w50W3Ng8Cul/TlkGSey7oiyQSXcLUhIAlAbaQSR4WAuwRkonaXr+utnz8AvPTJ+M088RqweGf87UgL5giIbuY4qVhLtFNRFWOfRDdjRqrWEO1UVWZ6v0Q3PXWL02tZV8QJUC4XAi4RkASgS2ClWSGgGwGZqHVT7AZ/g0HgRzuA9jP2AylcA3z5IODz2W9DrrRGQHSzxkul2qKdSmqY90V0M89KtZqinWqKmPNHdDPHyWO1ZF3hMUElHM8QkASgZ6SUQIRAfARkoo6PnxJXt9Yg+OJ98I0OWncnNRv4wl6gpML6tXJFfARCut0P3+iA9XZEN+vMnLyitQYT/3wv/GNXrbcq2lln5tQVcq90iiR/O601GP/pvQiMy5jjhx+HRRlzccDT81JZV+ipm3jtfQKSAPS+xhKhEDBFQCZqU5iUrhQMBlH/291YdvRbCEwMmfZ1PJAB/yOvwrfsDtPXSEVnCbS/twcF+75mTTd/BoYefAHZ6xx49dvZcJKmtZGREdTtfQ5rTvydJe0mUjLhf+QXwFIZc4nqLBfe+hlK3/mGJd3oXjmx62Wkrrw7UW4nvd3u7m407/8Zymv/3pJ2MuYS23Xk+SSx/BNhXdYViaAuNoWAMQFJABozkhpCICkIyEStv8ytra2or69HTl8jVp95FtmDFwyD6s9eiLOrvo6STfehpKTEsL5UcJ7A6OgoKisrkdFVZ1k3X0kFNm7cCJ+8tu28MCZarKurw6VLl2yNuRW3PYS8vDwTVqSK0wR6e3tRXV1tS7fcFbdi5cqVTrsk7ZkgQEmkqqoq9Pf3W9auoewZlN/1GFJTU01YkipOE5DnE6eJqt+erCvU10g8TE4CkgBMTt0laiFwEwGZqPXuFJREOnz4MOi/oRIMoni4ESt6D8B35jUgOD4ZYNCfgq6iW3Ch8G5055eHzvyjRdG2bduQkpKiNwgNvaekLS2Owrrld9eibPAgUs+9GaUb/CkYXHgn6vN2TupG11Ayori4WMPI9Xa5r68vlIy4PrCCWOJvxYK2N4EYY65j9na0FN87qR0l/zZs2CDJW+ZuQEmkY8eOgZKA4TFX0Hca5YOH4K/be9OY6y29DU0Ft0eNuU2bNiE3N5fZczFHyXZKukeOubLsLsx5/9cxx1z7rG1oLblvUrvS0lIsX75cQDITkOcTZuCKmJN1hSJCiBtC4AYCkgCULiEEhECIgEzUeneEc+fOhTSMLBUVFcjPzweGeoG+S8BwP5CeA+QWo+vqOI4fPx5Vf968eVi2bJneIDTznnayHD16NMrrwsJCrFmzJqZuE2k5ofqDg9fPeUxLS8PWrVslecuoPSWRampq0NPTM2k1EAiEdEhPT4+p3cX2HjQ2NkZ5uXr1ahQVFTF6Lqba2tpw5kz0x5KWLl2K+fPnx9Rt2Jce+nFlfPz6jygzZswA3V9l5y1ffxobGwvpQK/dh0tWVhY2b94Mv98fU7vTTR/g8uXLk/VJL6qfnZ3N57hYgjyfJGcnkHVFcuouUatPQBKA6mskHgoBFgIyUbNgdsUIJYOOHDkCSkqEy+zZs1FeXj6tvdraWnR0dEQtjrZs2QJaVElxnwDpdeLECXR1dU0ao4UsJZEyMjKmdKCzszN0XWRZsGABlixZ4r7TYiFEgJIKp0+fjqKxePFiLFy4cEpCExMToXF69er1jxdQspD0puShFPcJUBKPkkjDw8OTxjIzM0H3vVASaYrS3NyM8+fPR/2VkvSUrJfCQ4CS5xcvXowytm7dOhQUFEzpwNDQUEhvGnvhMnPmTNB1krzl0U2eT3g4q2hF1hUqqiI+CQFAEoDSC4SAEAgRkIla345AySBKCoULLWRpQUsL2+kKJSJocRSZOJw1axbWrl2rLwyNPKfkKyVhI8uiRYtA/4zKyZMnceXKlclqtJilRJKR5kbtyt+NCcRKIlHClvhPl0SilmNpTklDSh5KcZ8AJfEomRdZ6H5H973pCmlOyVtKKIULaU73WUneuq9bPHNVLM3pxzH6kUyK+wTk+cR9xqpakHWFqsqIX8lOQBKAyd4DJH4hcI2ATNR6dgVKAlEyKLJY2Q3W1NSECxeiPxZitKtCT1JqeR3vbjC7uyrUoqCnN7F2g5WVlWHOnDmGAdnd9WnYsFQwJBDvbrD29nacOnUqyo7Rrk9Dp6SCKQLx7Fa3u+vTlGNSaVoC8nyS3B1E1hXJrb9Ery4BSQCqq414JgRYCchEzYrblrG+oVF82DOEgZFxZKcFUJibhrra43GdBzfduUpkJ9Le3BkZyM2QLyjaEe9G7cb6OtD2QfROJKvnwcU6V2n9+vVIycwR3eyIFOOaG3UryPDj1PGqqFcK6ZxN4m72lcKBgYHQOY6RO2/D5z7eaE/GnD0hY3G80FgPSuKFi9Xz4KY793Ek6JcxZ0+qm666UbuM4BAaz0YnXq2eVzvVuY/5c+aKbi7pJs8nDoHVuBlZV2gsnrjuaQKSAPS0vBKcEDBPQCZq86w4a9Ki81DTFbx8qBn7TrdhfOL6OX8BH7ChMIA7F6RiVYE/lIBYtWoV5s6da8nFyC8rkr2znROo7EzHO+d7o+35fbinrAif274QO5bMMp3wsOSMhypPp53fB2yM0I4+KmD1i7CUvK2srAx9+Tms2x9agzh6aUR0i6MfWdEtnETKycmxZLGhoQEtLS2ha8LaVfVm462GTtHOEsnrla3eK+18ETbyy89h3d69HMB7FwdFN5u6hcfAVPPcjfdK+uiR1S/WR375Oazb/otjqL48Lrq5pJs8n8QB1iOXyrrCI0JKGJ4jIAlAz0kqAQkBewRkorbHzc2ralt68MyeGtS39RuaKc3x4entBfjsndssJ+ZoQVRdXY2TH3Tj+ZPDaOm/nmScyvCKohx8f1cFyktnGPqWjBWsave9XRXYvqLEMqrW1lbsO3JGdLNMLvYFVnX769tL8cDH1lu2TklbSt6euzIs2lmmd/MFVnX70oZsPHz3LUhNtb6jua6uDofOfiC6OaAbNWFVu+88sAK3V1j/Wn1vby/+7a0joluCdJPnE4fAa9SMrCs0EktcTSoCkgBMKrklWCEwNQGZqNXqHe80tOOpl6swODJu2rHMVD9+8vnN2Lnc+CyyGxt9o+Z9fP2XpzBs3hyy0gLY/fgmW/ZMB6VhRTva2WV5oP4ynnzpKIbHjZO2YZR2bWkohSWXOXUjx3518Ay++XqTjDlLKt1c2Y5u8dwr3zp9CV96pVp0i1M3utyOdnbvX2TryZeOYGhM7pXxSmdHt3jGnDyfxKtYYq6XdUViuItVIWBEQBKARoTk70IgSQjIRK2O0LQjYtfuQ5aSf5HJnT1P7bC0M4/bnjqknfeEkyWnLedJqdUiN0tue2rRds4bbo7c9pwjpV5LnCw5balH2lmPuFly23OWVnK3JuuK5NZfoleXgCQA1dVGPBMCrARkombFPaUxeh33nmcPmHrtd6pGVhbl4o2nd5p6FZjbnhqU3fGCkyWnLXdoqdMqN0tue+qQdtYTbo7c9pylpVZrnCw5balF2XlvuFly23OeWHK3KOuK5NZfoleXgCQA1dVGPBMCrARkombFPaWxg40dePT5yridefXJ7dixdJZhO9z2DB3SuAInS05bGktiynVultz2TEHQsBI3R257Gkpi2mVOlpy2TAPQtCI3S257msqirNuyrlBWGnEsyQlIAjDJO4CELwTCBGSiVqMvfOWVKuw9+WHcznxibTF++NhGw3a47Rk6pHEFTpactjSWxJTr3Cy57ZmCoGElbo7c9jSUxLTLnCw5bZkGoGlFbpbc9jSVRVm3ZV2hrDTiWJITkARgkncACV8ISAJQnT7QNzSKim//DuMT5g8pn8r7gN+Hmr+9C7kZU3/lktueOqSd94STJact50mp1SI3S257atF2zhtujtz2nCOlXkucLDltqUfaWY+4WXLbc5aWtEYEJAEo/UAIqElAEoBq6iJeCQF2AjJRsyO/yWBDWx/u+scDjjny+2c+jmWFuVO2x23PscAUbIiTJactBVE76hI3S257jsJSqDFujtz2FELtuCucLDltOQ5KsQa5WXLbUwy3J9yRdYUnZJQgPEhAEoAeFFVCEgJ2CMhEbYeas9fUXOzGgz/8o2ON/vqrH0PF/Pwp2+O251hgCjbEyZLTloKoHXWJmyW3PUdhKdQYN0duewqhdtwVTpacthwHpViD3Cy57SmG2xPuyLrCEzJKEB4kIAlAD4oqIQkBOwRkorZDzdlruH/x5rbnLC21WuNkyWlLLcrOe8PNktue88TUaJGbI7c9NSi74wUnS05b7tBSp1Vultz21CHtHU9kXeEdLSUSbxGQBKC39JRohIBtAjJR20bn2IVOnnmT4vfhGOMZgGbsOQZKwYY4teO0pSBqR13iZsltz1FYCjXGzZHbnkKoHXeFkyWnLcdBKdYgN0tue4rh9oQ7sq7whIwShAcJSALQg6JKSELADgGZqO1Qc/4a7q/ecdtznpg6LXKy5LSlDmF3POFmyW3PHWqJb5WbI7e9xBN2zwNOlpy23COmRsvcLLntqUHZO17IusI7Wkok3iIgCUBv6SnRCAHbBGSito3O0QsPNnbg0ecr427z1Se3Y8fSWYbtcNszdEjjCpwsOW1pLIkp17lZctszBUHDStwcue1pKIlplzlZctoyDUDTitwsue1pKouybsu6QllpxLEkJyAJwCTvABK+EAgTkIlajb4QDAZxz7MHUN/Wb9uhlUW5eOPpnfD5fIZtcNszdEjjCpwsOW1pLIkp17lZctszBUHDStwcue1pKIlplzlZctoyDUDTitwsue1pKouybsu6QllpxLEkJyAJwCTvABK+EJAEoHp9oLalB7t2H8LgyLhl57LSAtjz1A6Ul84wfS23PdOOaViRWH72x3/E0FjQsvdWtRPdLCOe8gJi+dBzB3F1dMJyo1Z1IwOinWXMMS/g5shtzxlKarYSGnM/PoirY+6POdHNuT7AzZLbnnOkpCVJAEofEAJqEpAEoJq6iFdCgJ2ATNTsyKc1+Mp/VuHb+z/EsIUcICUidj++CTuXz7EczDsN7Xjq5SpLSceMFB+ef2KLLXuWHdTkgu7ubvz891X4p2NDLNrZ0S09ADz32EbcvqZYE6ruu0k7TX76+kF891A3i24UkR3tMlP9+MnnN8uYi+gSvzp4Bt98vUlp3dIDdK/cjI+vKHS/M2tiYWRkBC+89kf8oGqQRTs7443ulT94qAz3VizShCqPm/J8wsNZdyuyrtBdQfHfqwQkAehVZSUuIWCRgEzUFoG5WL23txfV1dV4v2ccz58cRku/8W4yeu33e7vWW9r5d2MI9Ev7M3tqTL1+PC/Hhy+uTcef3r4FeXl5LtLQp2lKIlVVVaG/v59VOzu67Vg1DytXrtQHrsuetrS0oKGhgVU3Csmqdk9tyMbDd9+C1NRUl4no0fzo6CgqKytx7sqw8vfKu7esRklJiR5gGbysq6vDpUuXWMec1fFGc9zaefnYuHGjqSM1GLAl3IQ8nyRcAm0ckHWFNlKJo0lGQBKASSa4hCsEpiIgE7UafYOSSMeOHQM9ZFOh/93QA1T35eB3Z9oxPnE9GZji9+Gesrn43PaF2L6kwJEFCtl7r6kTL7/3Pt481XaTvY1FAdw+LwWrCvwhe5T827BhgyO21VDAvhe0mKVFbbgQy77MYrzROBCTpZPaGem2Y34Wbikcn9SNfNy0aRNyc3PtB+yRKymJdPjwYdB/w2Ou+WoaKjszsO/0zWPASd3C9qYbcxsK/bhjfuqkdpREWrFihUfoxxdGfX09WltbJ3U72zmB6r5s7K/vTPi9cktxGj5e4pvUjZK227ZtQ0pKSnxBe+Dqvr6+0I8lkffKy8jH260TCb9X7lySh60zh6PulfRjSXGx7JiW5xMPDD7GEGRdwQhbTAkBCwQkAWgBllQVAl4mIBO1Guq2tbXhzJkzUc4sXboU8+fPR9/QKNp6h9A/PI6c9ACK8jKQm+HeTqBY9rrbP0RjY2OUf6tXr0ZRUZEaABPkxdjYWCiJRK+1hUtWVhY2b94Mv9/Pql0s3dJ8EyH/xsevv1M+Y8YMVFRUJH3y9ty5c6D7X2QhLvn5+ay6kf1Y2l1sasDly5ej/NuyZQuys7MT1NvVMEs7bY8ePRrlTGFhIdasWaOEbmNX+3H8+PEo/+bNm4dly5apATBBXlASqaamBj09PZMeBAIBbN26Fenp6azaxRpv2WmBUL8aHByc9C8tLS3kX7Inb+X5JEGDRlOzsq7QVDhx2/MEJAHoeYklQCFgjoBM1OY4uVmLkjOUpBkeHp40k5mZCVrsUxJJhTIxMYEjR47g6tWrk+7Qoo0WR7SIS9bS1NSECxcuRIW/bt06FBQUKIOkubkZ58+fj/KnrKwMc+ZYPzNSmaDidIQW+dSfKSkRLrNnz0Z5eXmcLTt3+dDQUOi+QGMvXGbOnAnqX2a+9O2cJ+q0RHqdOHECXV1dk07RPZLuQxkZGco4Wltbi46Ojkl/SC+6n9OPA8laKJl9+vTpqPAXL16MhQsXKoOks7Mz1L8iy4IFC7BkyRJlfOR2RJ5PuInrb0/WFfprKBF4k4AkAL2pq0QlBCwTkInaMjLHL6DkDCVpIgslIighoVKhBS0tbCMLLd5oEZeMhZKhlKCJTCLNmjULa9euVQoHJZDIT0oohQslSyghkazJW1rk02I/XChBQ0kkSryrVHS5N3Axi3UPWrRoEeifSiXWvYF+FKDkbTKWWEkkugfRmFPlR66wLidPnsSVK1eUvzdw9SNd7kHyfMLVI4ztyLrCmJHUEAKJICAJwERQF5tCQEECMlEnVhSddvnosvuGS1Gddvm0t7fj1KlTUWhU233DpRst7mmRH1lU3eWjw+4bLt1024Wsw+5gLu102oWsw+5gLt3k+YSLtLfsyLrCW3pKNN4hIAlA72gpkQiBuAgk+0RNZwF92DOEgZFx0BlAc2e4eL7eUC/Q2wqMDABp2UBeCU41XgQlZ8KFdiLR+XFOnPPlRmwDAwOhc5Iid72Fz99CjPiQ4c6Xgt2IbdqBdENsXRNZOH62KeoSp875ciO2ac/fCg7f1C/d0o2AuRHflNrdoNtE7lwcPVnv2jlfbsQW6/wteiVxQWG+d3UjQW/Q7mLvBBo/iD4T0alzSN3QbdrzQUf62bRzIzYr98rhjNmorDkd9So7nbO5fv16R15ldyO+WOeDkr8zMwNsuiX6XinPJ/Yfrd3ok/a94b8y2dcV/MTFohAwR0ASgOY4SS0h4HkCyThRUzLkUNMVvHyo+aavfQZCX9gtCn1hd8eSWfEvUOiMsfffAQ4/D5x9HQhe/xhD0BdA++xtaC25D935awGfD6WlpVi+fLntfscRW0NDA1paWj7yMRhEfvdJlA0cRGrjvhwvXisAACAASURBVKj44AsAqx8AtnwRWLQzFF88hSO2KP+m1c6P9tnbJ7VLTUuL60ufHLFFfTzhmm5LruxHXssBV3X7qJuoO+ZWrVqFuXPn2u6abscW9QXOa7rNa/0tZnVUwhdxP3F6vLHrdu1+MvX9MnrM5c2YEdeXyN3WjcKJ+kL4Ne1W9BxAVvN+V8ccR2zm75U3z3P0I1dOTo6yY46St5WVlR99Ifyabgva9mFm20FvjTl5PtH3+cT26HH/wmRcV7hPVSwIgfgJSAIwfobSghDwBIFkm6hrW3rwzJ4a1Lf1G+q3oigH399VgfLSGYZ1Y1ZorQF+9SWgPfrrvrHqDmQtQH35X6D8rseQmmrvC79csdGiiBZHGV11WH3mWWQPRn8EIyaLOauBP3kOKKmwxZIrtknnLGo3eO/3MWfdXcrHVldXh776d9l0IyCs2lnUrXnT32D1HQ/bTvRzxdbb24v6t3/pXd2oo1jULvgnzyFn+ceUHnOUiKuurkawtYZNO64+afde2b7zO1i049O2dOO8n7S2tqK16rdsunHGFoJvcbzJ88nUXZZ9zNkePTwXJtu6goeqWBEC8ROQBGD8DKUFIeAJAsk0Ub/T0I6nXq7C4Mj1XXhGImalBbD78U3YudziF1Mb9wP/8jlgdMDIxOTfJ1Iy4X/kF8DSO0xfE67IGhuA9vf2oGDf1xCYuP5hCUOnU7OBh39uOT7u2GBDu2BqNnwaxDZatw/+PY8jMO6+btQfWLWzpVsWfA+/YrlPJiK2iVcfhX/s+le43Rpv7LGRQRvaQZP7ycCJ3yDj11+Ue+W1DhtM1WPMBc/tx8Srj8i98ppu8nwS+47LOscZ3vTVqJBM6wo1iIsXQsAcAUkAmuMktYSA5wkky0RNv9Du2n3IUvIvLD4lAfc8tcP8TkD6Zf3F+y0l/yY7Gi1qv7DX0k451tjI0dYaBF+8Hz4LyU278SUiNi7tvBwb6c0an5fHnJdju3Y/kTEX41HD4lzAOt6YdZP7ydSPovJ8cgMbLz+faLIiSZZ1hSZyiJtCYJKAJAClMwgBIRAikAwTNb2Gdc+zB0y99jtVt1hZlIs3nt5p/Kognanzox2mXvudsgsWrgG+fNDUmXmssZHDjPFJbNPfpEz3SWbdPjInY2469Uxrxzje2HVj7pesfVJiM37CUnWe8/KY83JsXh9zxiNKmRrJsK5QBrY4IgQsEJAEoAVYUlUIeJmAqhM1Ldboi7hOlIONHXj0+cq4m3r1ye3YsXTW9O2cPwC89Mm4beGJ14DFOw3bYY2NvGGMT2IzlB+m+iSzbmSOVTvGPimxGfdJqqFiv2Ttk8xjzsuxyZhzcMx5+V7p9TFn0A2cfGY21+OmrqXquiLeuOR6IaA7AUkA6q6g+C8EHCKg0kRNDzD0gYm+vj40NjZiwYIFKCgoiDvSP/9/x/HGqctxt3NfWRF+8F/XTdtOyr/9N/jP/iZuW+OrPoXxP/2pYTucsZEznPFJbIbyw0yf5NaN7HFqx9knJTbjPkk1VOyXnH2Se8x5OTYZc86NOS/fK70+5qbrBZ2dnbh48SKWLFmC3Nzc0IfknPoB3Vzvi66l0rrCjv9yjRDwKgFJAHpVWYlLCFgkoNJETYm/N998E/39H32hlx5iSkpK4nqQuToWxFf/cxATQYtgYlT3+4Af3pmFzJTYOxMDY4O49d3H4MNE3MaC8OPdW1/BeErWlG1xxkZOcMYnsZnrQkZ9kls3ssepHWeflNjM9UmqpVq/5OyT3GPOy7HJmHNuzHn5Xun1MTddL6AfzumL1fTjOZWcnBzcc889oURgoopK64pEMRC7QkBFApIAVFEV8UkIJICAShP1hQsXsH///igKtAMwLy/PNpmW/gn8j3ctfDnTwNL/ujUTJTn+mLWyBi5g65Gv2fb1xgsPb/m/GMyeP2V7nLGRE5zxSWzmu9F0fZJbN7LHqR1nn5TYzPdJqqlSv+Tsk9xjzsuxyZhzbsx5+V7p9TE3XS/o7e0F7QCMLHfeeSfmz5/62dFar7JeW6V1hXXv5Qoh4F0CkgD0rrYSmRCwRECliXp4eBj/+q//ipGRkckY/H4/SktLEQgELMUVrtzUPY5vvzdk69pYF/3t9gwsyY/tS25vPTZV/6Vjtqo2fhd9eSumbI8zNnKCMz6JzXw3mq5PcutG9ji14+yTEpv5Pkk1VeqXnH2Se8x5OTYZc86NOS/fK70+5qbqBePj42hpacHExPW3TtLS0vCZz3wG6enp1jqPg7VVWlc4GJY0JQS0JyAJQO0llACEgDMEVJqoKfFHOwA//PDDqODoVYZZsww+vjEFDs7dEfILu7U+Od0OR07dyGtO7bwcG7HkjI9TN4nN2viWHYA8u8E5xxv3vVLGnHNjzsv3Su5+yT3mpuoFV65cCZ2ZHVnmzp2LO+64A5QITFRRaV2RKAZiVwioSEASgCqqIj4JgQQQUGmiDn8E5OzZs2hvb4+isXHjRmRnZ1sm1D80hi3/+w8Yd+AQwBS/D4e/+V+Qk5ES24/hPqR+fzl8wXHLft54QdCfgtH/Xg+kT32OC2ts5CBjfBKbuS5k2CeZdSNzrNox9kmJzVyfpFqq9UvWPsk85rwcm4w5B8ecl++VXh9zMbrBwMAAqquro/4yZ84crFq1Sj4CYn7YSE0hkFQEJAGYVHJLsEJgagIqJQDDXg4NDeHw4cNRrzXMnDkT69ats/VBkK+8UoW9J6N3FdrpE59YW4wfPrZx+kv3fB44/e92mo++Zs2DwK6XDNthjY28YYxPYjOUH6b6JLNuZI5VO8Y+KbEZ90mqoWK/ZO2TzGPOy7HJmHNwzHn5Xun1MRfRDejH8hMnTqCrq2vy/0vH5WzduhUZGRnmOoyLtVRcV7gYrjQtBLQhIAlAbaQSR4WAuwRUnajPnz+P5ubmqODLy8sxe/Zsy0AONnbg0ecrLV934wWvPrkdO5YavIp8/gDw0ifjtoUnXgMW7zRshzU28oYxPonNUH6Y6pPMupE5Vu0Y+6TEZtwnqYaK/ZK1TzKPOS/HJmPOwTHn5Xul18dcRDfo6OhAbW1tVMdYtGgR6J8KRdV1hQpsxAchkEgCkgBMJH2xLQQUIqDqRE2HG9MuQPowSLhkZmZiy5YtoF86rRT6tfSeZw+gvq3fymVRdVcW5eKNp3ca70AMBoEf7QDaz9i2hcI1wJcPAj6fYRussZE3jPFJbNPLb7pPMuv2kTkZc9OpZ1o7xvHGrhtzv2TtkxKb4dyl7Dzn5THn5di8PuaujSj64MeRI0dw9erVyTFGH/yg3X92P5ZnPFit1VB1XWEtCqktBLxHQBKA3tNUIhICtgioPFG3tbXhzJnoRNqSJUuwYMECy7HWtvRg1+5DGByxfj5fVloAe57agfLSGebsttYg+OL98I0OmKsfWSs1G/jCXqCkwvS1rLGRV601wIv3AwzxJSK2iX++F/6x6w/XpoWwqF0iYuPSjZixxhcac/fBNzpoWq7JihZ1S0RsntXt2v1k/Kf3IjAuYy6q81rsl6zj7ZpuMuZi3G4s6paI+4k8n0wxTVjUjn3MAbhw4QKampqiAli9ejWKioqsz30uXaHyusKlkKVZIaAFAUkAaiGTOCkE3Ceg8kRNOzaOHTuG3t7eSRD0C+e2bdtsfeHsnYZ2PPVylaUkICX/dj++CTuXz7EkRvt7e1Cw72sITAyZv44ePh/+ObD0DvPXXKvJGVvIZON+4F8+ZykJOJGSCf8jv7AcH2ds9CXqur3PYc2Jv2PRjjM2u7qNBzLgf+RV+Jap3S8vvPUzlL7zDRbdiCWrdjbG27g/A0MPvoDsddaPJOCMrbu7G837f4by2r9n0Y4zNrtjTod7Jc3P9b/djWVHv8WimxZjLpCBiV0vI3Xl3UrP4fJ8crM8Oow5ej6prKwEvSETLnl5ediwYYPx2ymWe6T9C1ReV9iPSq4UAvoTkASg/hpKBELAEQKqT9SU/LvxS2fFxcVYuXKlrfjpF9tn9tSYeh2YXtP73q715nf+XfNodHQ09JCW0VWH1WeeRfbgBWNf6bXfB39saeffjY1yxBZlk3YC/upLpl537s9eiIayZ1B+12OhL9RZLVyx1dXV4dKlS8jpa2TTjiu2SeYWdTu76uso2XQfSkpKrMoWqs8RX/g+wakbV2zx6OYrqQB9Qd1n4jiBRNxPKIlUVVWF/v5+GXPXBKB7JY25Fbc9BFrcWy0c4418am1tRX19PatuOoy53BW3yvNJjE7L1S/t3i91ej6JxEv3dzv3Cav3FSv1VV9XWIlF6goBLxGQBKCX1JRYhEAcBHSYqOk1YHodOLJs2rQJubm5tiKnRed7TZ14+b338eapNoxPBCfbSfH7cE/ZXHxu+0JsX1Jga+FMiyJaHIVKMIj87lqUDR5E6rk3gWDEK8j+FGDVA8CWLwKLbjV15p9RwG7HdpN9OlPo/XeBI88DZ16Lii/oT0H7rG1oLbkP3fnlofhKS0uxfPlyozBi/t3t2Pr6+kLJiMkSDGKJvxUL2t68KTY4rJ3bsVnVravoFlwovHtSN0ra0s7blJQU5bS7aadwMIiCvtMoHzwEf91eb425acYb9cnBhXeiPm/npG4kFv1YQj+a2Clu90tKtlPSPXLMlWV3Yc77v066Mdcxeztaiu+d1C6enT1u60Y/ctEZvfTf8DxXPNyIFb0H4LthHnD6XvnRtOruHB41VgzGXG/pbWgquD1qzMnzSey7Datu156/PPt8AmDu3LlYtWqVnVu7q9fosK5wFYA0LgQUJSAJQEWFEbeEADcBHSZq+hAILTYiX3uYMWMGKioqbCXoIhn3DY2irXcI/cPjyEkPoCgvA7kZ1neohduknSxHjx6NkrGwsBBr1qwBhnqBvkvAcD+QngPkFgMZ1nd4mO0jTsdmaDdGfKebPsDly5cnL6WdSJs3b0Z2drZhc9NVcDo2WpjU1NSgp6dn0iy9bk4Ha9MB25zaOR2bIegYunVdHcfx48ejLp03bx6WLVtm2JxRBafji3VW6NKlSzF//nxW3Shup2OblmUM3SbSckL3n8HB62chpqWlhfqx3eRt2AenYxsbGwvd1+m1tnDJysoK3R9CH3pivF86HZvRGIgV28X2HjQ2NkZd6sTZXm7Edu7cOdCzQ2Sh+Tg/P59VNxXG3LAvXZ5PDDv8zRXc6JdW75eeeT6xwd/NS3RYV7gZv7QtBFQlIAlAVZURv4QAMwFdJurm5macP38+ig4l1Si5pkqhJNKJEyfQ1dU16RItZGnxnZGRoYqbrH4MDQ2FFkf05bpwmTlzJtatWxd38tbJQChJefr06agmFy9ejIULFzppRqu2amtr0dHRMekzJW/pK9yUpFGlOPm1cFViitePzs7O0H0ostCHk+gDSioVSnZdvHgxyiW6LxQUFKjkJpsvOnzdk2BQcpm+QkrzXbjMnj0b5eXlbKxUMyTPJ6opYs4feT4xx8lqLV3WFVbjkvpCQHcCkgDUXUHxXwg4RECXiZoW+rTooAe2cKGkGiUkaKeWCoWSJZQ0iSyLFi0C/UvmQolbWiBFFlos0qJRhRIriUR9ixK3oZ1ISVquXr0aSt5GLvRnzZqFtWvXKkMkVt8i/8jPZC4nT57ElStXJhFQ8pb6c2ZmphJYdOhbiQAVaw6hHyHoxwhVCiWXKckcLnSPpHlYlb6VCE7yfJII6s7YlOcTZzhGtqLLusL5yKVFIaA2AUkAqq2PeCcE2AjoNFG3t7fj1KlTUWxU2aWly+4Nto4VYUj1XVqxdm+UlZVhzhxrX35OBFu3bTY1NeHCheiP2KiyS0uX3RtuaxSrfdV3aemwuzQRuqm+i5ySypRcjiwq7i5NhHbyfJII6vHblOeT+Bne2IJO6wrno5cWhYC6BCQBqK424pkQYCWg00Q93TltI0E/PuwZwsDIOLLTApg7I76z/IxEoPNrIu2N9XWg7YPoXW5OnN9k5Icuf5/qnLb8OXMTqltBhh+njldFvaJM51itX79eqVeUE6XzdOe00VjjGnM3jjca3xca60GL7nBx6nzJRLF22m6sc9qoX6dk5rDpRjHdqF1GcAiNZ6N/yHHqfEmnGSaivYGBgdA5jpE7b8PnyMYaB/GcWTtdfDfaKsxNQ13tcVfOl0wEZ6dtyvOJ00T52pPnE2dZ67SucDZyaU0IqE1AEoBq6yPeCQE2ArpN1JFfaqUH7rOdE3j3cgDvXRyM+ppvIPQ136LQ13x3LJnlSDKH7B1quoKXDzVj3+norwf7fcDGwgDuXJCKVQV+0EdKNmzY4Ihdts7goqHIL7WGddt/cQzVl8eV0i2cRMrJyXGRhl5NR36pNaxdZWc63jnf66p20423gA/YEDHeSLd4vjCtlyLmvKXkbWVlZehLrWHd/tAaxNFLI67qRt5ZuVfSR0ri+cK0ORp61WpoaEBLS0vI6bB2Vb3ZeKuh01XtrI45+gIpfYlUykcE5PlEz54gzyfO6qbbusLZ6KU1IaAuAUkAqquNeCYEWAnoOFHX1dXh0NkP8PzJYbT0Xz+IfCpwK4py8P1dFSgvnWGbbW1LD57ZU4P6tn7DNkpzfPjergpsX1FiWDeZKvT29uLf3jqitG5/fXspHvjY+mSSxTBWWhxVV1fj5AfdbNpZHW9f2pCNh+++Bamp9r/gbQhCwwqtra3Yd+QMm26EyKp233lgBW6viP/r0hrKM6XLlLSl5O25K8Ns2lnV7entBfjsndvkR64bVJTnEz1HojyfOKebjusK56KXloSAugQkAaiuNuKZEGAloONE/dbpS/jSK9UYHjePKistgN2Pb8LO5dbPdXunoR1PvVyFwRHzBuOxZz4qvWoSxydfOoKhMeOkbTiyeDiKbs71jzdq3sfXf3mKZczZ0S0z1Y+ffH6zrfHtHCX1WjpQfxlPvnQUw+My5tRTZ3qPfnXwDL75epOMOc2Ek+cTzQS75q48nzinm47rCueil5aEgLoEJAGorjbimRBgJaDbRE27FHbtPmQpGReZTNrz1A5LOwG57bGKz2iMmyO3PUaU7KY4WXLaYgfJbJCbJbc9Zpys5jhZctpihZgAY9wsue0lACmLSW6O3PZYIEYY0W1dwc1H7AmBRBGQBGCiyItdIaAYAZ0manoV8Z5nD5h6DXcqzCuLcvHG0ztNvbbEbU+xruGYO9wcue05BkrBhjhZctpSELWjLnGz5LbnKCzFGuNkyWlLMcyOu8PNktue48AUaZCbI7e9RGDWaV2RCD5iUwgkioAkABNFXuwKAcUI6DRRH2zswKPPV8ZN8NUnt2PH0lmG7XDbM3RI0wrcHLntaSqLKbc5WXLaMhW8xpW4WXLb01gaQ9c5WXLaMgxc8wrcLLntaS7PlO5zc+S2lwjddFpXJIKP2BQCiSIgCcBEkRe7QkAxAjpN1F95pQp7T34YN8FPrC3GDx/baNgOtz1DhzStwM2R256msphym5Mlpy1TwWtciZsltz2NpTF0nZMlpy3DwDWvwM2S257m8kzpPjdHbnuJ0E2ndUUi+IhNIZAoApIATBR5sSsEFCOgy0TdNzSKim//DuMT5g+znwp1wO9Dzd/ehdyMqb8Yym1PsW7hmDvcHLntOQZKwYY4WXLaUhC1oy5xs+S25ygsxRrjZMlpSzHMjrvDzZLbnuPAFGmQmyO3vURh1mVdkSg+YlcIJIqAJAATRV7sCgHFCOgyUTe09eGufzzgGL3fP/NxLCvMnbI9bnuOBaZYQ9wcue0phttRdzhZctpyFJKCjXGz5LanIHLHXOJkyWnLMUCKNsTNktueotjjdoubI7e9uAHZbECXdYXN8OQyIaAtAUkAaiudOC4EnCWgy0Rdc7EbD/7wj44F/+uvfgwV8/OnbI/bnmOBKdYQN0due4rhdtQdTpacthyFpGBj3Cy57SmI3DGXOFly2nIMkKINcbPktqco9rjd4ubIbS9uQDYb0GVdYTM8uUwIaEtAEoDaSieOCwFnCegyUXP/csptz1lV1WmNmyO3PXVIO+8JJ0tOW86TUqtFbpbc9tSi7aw3nCw5bTlLSb3WuFly21OPuDMecXPktucMJeut6LKusB6ZXCEE9CYgCUC99RPvhYBjBHSZqJ08OyXF78MxxjMAzdhzTFDFGhLdFBPEgjuc2nHasoBAy6rcLLntaSmKSac5WXLaMhm+ttW4WXLb01YYA8e5OXLbS5RuuqwrEsVH7AqBRBGQBGCiyItdIaAYAZ0mau6vp3HbU6xrOOYON0due46BUrAhTpacthRE7ahL3Cy57TkKS7HGOFly2lIMs+PucLPktuc4MEUa5ObIbS8RmHVaVySCj9gUAokiIAnARJEXu0JAMQI6TdQHGzvw6POVcRN89cnt2LF0lmE73PYMHdK0AjdHbnuaymLKbU6WnLZMBa9xJW6W3PY0lsbQdU6WnLYMA9e8AjdLbnuayzOl+9wcue0lQjed1hWJ4CM2hUCiCEgCMFHkxa4QUIyAThN1MBjEPc8eQH1bv22KK4ty8cbTO+Hz+Qzb4LZn6JCmFbg5ctvTVBZTbnOy5LRlKniNK3Gz5LansTSGrnOy5LRlGLjmFbhZctvTXJ4p3efmyG0vEbrptK5IBB+xKQQSRUASgIkiL3aFgGIEdJuoa1t6sGv3IQyOjFsmmZUWwJ6ndqC8dIbpa8neZ3/8RwyNBU1fE65ox55lI5pckAjdHnruIK6OTlgmJLpFI+PUjtOW5Y6h2QXcLMneQz8+iKtjMubi7Sqc2nHaipeL6tdzs5TnE2d6RCJ08/LziW7rCmd6kbQiBNQnIAlA9TUSD4UACwEdJ+p3Gtrx1MtVlpKA6QEfnn9iMz6+otAS1+7ubvz891X4p2NDGLaQc6Qk0u7HN2Hn8jmW7Hm5sj3dgB88VIZ7KxZZQkO/sv/09YP47qFu0c0SudiV7WiXkUJjbovlMfCrg2fwzdebRLcE6ZYeAJ57bCNuX1NsyYORkRG88Nof8YOqQdHOEjnnxlxmqh8/+fxmy2Pulf+swrf3fyi6JUg3eT5xAHycTdiZ4+heKc8nN4PXcV0RZ/eRy4WAFgQkAaiFTOKkEHCfgK4TNf1i+8yeGlOvA8/L8eGLa9Nx95bVKCkpMQ2VkkhVVVXo7+/H+z3jeP7kMFr6jXcC0mvG39u13tJOQ9NOaV7Rjm5r5+Vj48aNpl7bDuNpaWlBQ0OD6OZgf7Gj3Z/evgV5eXmmvRgdHUVlZSXOXRmW8Waa2vQV7ei2Y9U8rFy50pIHdXV1uHTpkow5S9Sc1e6pDdl4+O5bkJqaatqL3t5eVFdXi26miRlXtDPm5PnEmKvbNezoJs8nkgB0u19K+0LAKQKSAHSKpLQjBDQnoGsCkLBTgu69pk68/N77ePNUG8YnrifnUvw+bClOw8dLfFhV4A8lj2hRtG3bNqSkpJhSjRaztKgNF7LXl1mMNxoHYtq7p2wuPrd9IbYvKbCUrDLljIcqGem2c0kets4cntSNQqdkRHGxuR1JlEQ6fPgw6L/hftJ8NQ2VnRnYd/rmfiK6me9cRtptLArg9nkpk9pR8m/Dhg2mx0N9fT1aW1sndTvbOYHqvmzsr++8aXyLbs7ptmN+Fm4pHI8ac5s2bUJubq4pI319faEfSyLvlZeRj7dbJ+ReaYrg1JWMxtyGQj/umJ86qR39yLVixQpTVqntY8eOgZKA4XtlQw9Q3ZeD351plzFnimLsSka6yfNJHHBdvNRIN3k+MYav87rCODqpIQT0JSAJQH21E8+FgKMEvDJR9w2Noq13CP3D48hJD6AoLwNjV/tx/PjxKF7z5s3DsmXLDBmOjY2Fkkj0Wlu4ZGVlYfPmzfD7/YhlLzfD/K4LQweSpEIsjtlpARw9ehSDg4OTFNLS0rB161ZTydtz586B+nVkqaioQH5+vujmYL+KpV13+4dobGyMsrJ69WoUFRUZWqadtqR7ZCksLMSaNWtEN0N65ivE0i3NNxG6342PXz/nYMaMGaBxY/TBJFow19TUoKenZ9KJQCAQGq/p6eminXlpDGvG0u5iUwMuX74cde2WLVuQnZ1t2F5bWxvOnDkTVW/p0qWYP3++6GZIz3wFeT4xz0qlmvJ8Yk8Nr6wr7EUvVwkBdQlIAlBdbcQzIcBKwOsTdW1tLTo6OiaZ0mKWFkeUzJuuNDU14cKFC1FV1q1bh4KCAlZ9ktVYZ2cnTpw4ERX+ggULsGTJkmmRUNLwyJEjod2h4TJ79myUl5cnK0rWuCcmJkL8r169OmmXkkCUDKKk0FSF9CK9u7q6JqtQop2uy8jIYI0hWY01Nzfj/PnzUeGXlZVhzpzpzzGl5NPp06ejrlu8eDEWLlyYrChZ4x4aGgolb2nshcvMmTNB89V0yVtK9tJ1w8PDk9dlZmaG5kcae1LcJyDPJ+4zdsOCPJ9MT9Xr6wo3+pS0KQQ4CEgCkIOy2BACGhDw+kRNiQha5EQmhCiJR4ujqUqsa2bNmoW1a9dqoKh3XDx58iSuXLkyGRAtZikhRIvUqQolkejhPFzMXOMdYmpEQgl3WthGFkoGUVJoqhLrmkWLFoH+SeEhQAkkuldSQilcKPlKCaGpkrexkkh0DY1TSSLx6EZWKHFLCdzIQj960I8fUxU71/BFlByW5PlEX53l+WRq7by+rtC314rnyU5AEoDJ3gMkfiFwjUAyTNRWd/PZ/VVeOpWzBKzu5qNkIT2URxYzuwad9Vpas7qbz+6uQSHtPIH29nacOnUqquHpdvPZ3TXovOfJ3aLV3Xx2dw0mN2V3opfnE3e4ut2qPJ9IAtDtPibtCwGnCUgC0Gmi0p4Q0JRAMiQApz3Pb6Qf6G0FRgaAtGx0TWTh+NmmKDXNnhuoaRdQ2u1Y5/mtX78eMzMDUbpN5M7F0ZP1ts8NVBqChs4NDAyEzvOL3HkbPs8PQ71R2l3snUDjB9FnmJk9N1BDNEq7PO15fsHhKN2GM2ajsuZ01Kunxt4ZnQAAIABJREFUdM4mjU+jcwOVhqCpc7HO86MjExYU5kfphrwSnGq8CEr2hgvpRefbmjk3UFM8yrotzyfKSmPomDyfxEaUDOsKw84hFYSAggQkAaigKOKSEEgEgWSZqKO+6BsMIr/7JFb0HEBW834geP3g+6DPj/bZ29Fach+689ciNS3N0peDE6Ghl23S4qiysvKjL/pe021B2z7MbDsIX5RuAbTP3japG3w+rFq1CnPnzvUyHqVja2hoQEtLy0c+XtOubOAgUhv3TTvm8mbMsPTlYKUhaOhc1MdYrum25Mp+5LUcuEG3m8ccJZFycnI0jFp/l6O+6HtNt3mtv8WsjkrDe2VpaSmWL1+uPwRNI5DnEz2Fk+cTSQDq2XPF62QlIAnAZFVe4hYCNxBIlgQgLY6qq6sRbK3B6jPPInsw+gMfsTrGQNYCDN77fcxZd5f0mwQSaG1tRWvVby3p1rzpb7D6jodlJ1ICdaOkLSVvM7rqLGkX/JPnkLP8Ywn0XEzX1dWhr/5dS7q17/wOFu34tMBLIIHe3l7Uv/1LS7rVl/8Fyu96DKmp8hX7REknzyeJIh+/XXk+uZlhsqwr4u890oIQ4CUgCUBe3mJNCChLIJkm6oETv0HGr7+IwMT1Q+6NhAmmZsP38M+BpXcYVZW/u0QgeG4/Jl59BIFxK7plwffwK6KbS5qYbbb9vT0o2Pc1S2MOqdmAjDmziF2pN1q3D/49j8uYc4Wui4020r3yUfjHrn+F28jaREom/I/8Qu6VRqBc/rs8n7gM2KXm5flEEoAudS1pVgg4TkASgI4jlQaFgJ4EkiYB2FoDvHg/MDpgXShKSHxhL1BSYf1auSI+AqJbfPwSeXVrDYIv3g+fjLlEqmDdtow568xUuEJ0U0EFez6Idva4Jfoq0S2mAkmzrkh0/xP7QsAiAUkAWgQm1YWAVwkkxUQdDAI/2gG0n7EvY+Ea4MsHQWfLSWEiILoxgXbBjGjnAlSGJkU3BsgumBDdXIDK1KRoxwTaYTOi25RAk2Jd4XB3kuaEAAcBSQByUBYbQkADAkkxUZ8/ALz0yfjVeOI1YPHO+NuRFswREN3McVKxlminoirGPoluxoxUrCG6qaiKOZ9EO3OcVKslukkCULU+Kf4IAQMCkgCULiIEhECIQFIkAPd8Hjj97/ErvuZBYNdL8bcjLZgjILqZ46RiLdFORVWMfRLdjBmpWEN0U1EVcz6JduY4qVZLdJMEoGp9UvwRApIAlD4gBISAGQKeTwAO9QL/ZxEQHDeDY/o6vgDwjfeBjLz425IWpicguunbQ0Q7PbUT3UQ3meN4+4CMOV7eTlkT3aYl6fl1hVP9SNoRAswEZAcgM3AxJwRUJeD5ifryWeBH25zD/9XDwJyVzrUnLcUmILrp2zNEOz21E91ENyIgcxxfP5Axx8faSUuimyQAnexP0pYQYCIgCUAm0GJGCKhOwPMJwA+qgBfucE6GL+4H5m1yrj1pKTYB0U3fniHa6amd6Ca6EQGZ4/j6gYw5PtZOWhLdJAHoZH+StoQAEwFJADKBFjNCQHUCnk8Ayi+1qnfB2P6JbnrqRl6LdnpqJ7qJbkRAdgDy9QMZc3ysnbQkukkC0Mn+JG0JASYCkgBkAi1mhIDqBDyfAHTyrBZ/CvBX5+UMQI5OLbpxUHbHhmjnDle3WxXd3CbsTvuimztcOVoV7TgoO29DdJMEoPO9SloUAq4TkASg64jFgBDQg4DnE4Akg3ytTY/OeKOXopueusmYE93ki+m8fUDulby8nbQm2jlJk68t0W1K1kmxruDraWJJCDhGQBKAjqGUhoSA3gSSYqI+fwB46ZPxC/XEa8DinfG3Iy2YIyC6meOkYi3RTkVVjH0S3YwZqVhDdFNRFXM+iXbmOKlWS3STBKBqfVL8EQIGBCQBKF1ECAiBEIGkSAAGg8CPdgDtZ+yrXrgG+PJBwOez34ZcaY2A6GaNl0q1RTuV1DDvi+hmnpVKNUU3ldSw5otoZ42XKrVFN0kAqtIXxQ8hYJKAJABNgpJqQsDrBJIiAUgittZg4p/vhX/sqnVJU7OBL+wFSiqsXytXxEegtQbBF++Db3TQejuim3VmTl7RWoPxn96LwLiMOSexut6WjDnXEbtiIKTb/fCNDlhvXu6V1pk5eYU8nzhJk68tuVfGZJ006wq+niaWhIAjBCQB6AhGaUQI6E8gWSbqkZER1O19DmtO/B0CE0OmhZtIyYT/kV8AS+8wfY1UdJbAhbd+htJ3vmFJt/FABiZ2vYzUlXc764y0ZppAd3c3mvf/DOW1f29JOxlzphG7UjEYDKL+t7ux7Oi3LOlGY87/yKvwLZN7pSvCmGi0/b09KNj3NWu6+TMw9OALyF7nwDEZJnyUKjcTkOcTfXuFPJ/crF2yrCv07bXiebISkARgsiovcQuBGwgky0RdV1eHS5cuIaevEavPPIvswQuGfaE/eyHOrvo6Vtz2EPLy8gzrSwXnCfT29qK6utqWbrkrbsXKlSudd0paNCRASaSqqir09/db1q6h7BmU3/UYUlNTDe1IBecJtLa2or6+3rJudK8s2XQfSkpKnHdKWjQkMDo6isrKSmR01Vme43wlFdi4cSN8csSFIWc3KsjziRtU3W9Tnk9iM06WdYX7PUwsCAFnCUgC0Fme0poQ0JZAMkzUfX19oWTEZAkGscTfigVtbwJnXgOC49f/5E9Bx+ztaCm+F9355aEz/yj5t2HDBlkcMfdySiIdO3YM9JAdKsEgCvpOo3zwEPx1e6N0gz8FvaW3oang9knd6JJNmzYhNzeX2XMxR8l2WtRGjrmy7C7Mef/XMcdc+6xtaC25b1K70tJSLF++XEAyE6Ak0uHDh0H/DY+54uFGrOg9AF+Me2VX0S24UHj3pG6UtN22bRtSUlKYPRdzlLSl5G1Yt/zuWpQNHkTquTdvulcOLrwT9Xk7o+6V9GNJcXGxgGQmIM8nzMAdMifPJ1ODTIZ1hUPdSJoRAqwEJAHIiluMCQF1CXh9oqaHtJqaGvT09EyKEAgEsHXrVqSnpwNDvUDfJWC4H0jPAXKLcbG9B42NjVGirV69GkVFReoK6UHP2tracOZM9Idbli5divnz58fUbdiXHkpejI9fT+jOmDEDFRUVkrxl7B9jY2MhHei1tnDJysrC5s2b4ff7Y2p3uukDXL58ebI+7USi+tnZ2Yyei6lz586FPgwVWWj85Ofnx9St6+o4jh8/HlV/3rx5WLZsmcBkJEA7bY8ePRplsbCwEGvWrImp20RaTqj+4OD1s1XT0tJC86Ikb/mEk+cTPtZOW5LnE0kAOt2npD0h4DYBSQC6TVjaFwKaEPB6ApCSCqdPn45SY/HixVi4cOGUCk1MTODIkSO4evX6xwsoWUiLI0oeSnGfACXxKIk0PDw8aSwzMxNbtmz5KIk0RWlubsb58+ej/kqLYFoMS+EhQMnzixcvRhlbt24dCgoKpnRgaGgopDeNvXCZOXMm6Dp5LZFHN0oG0X2PkhLhMnv2bJSXl0/rQG1tLTo6OibrkF40TinpK8V9AqTXiRMn0NXVNWmM7pE0X2VkZEzpQGdnZ+i6yLJgwQIsWbLEfafFQoiAPJ/o2RHk+WR63by+rtCz14rXQgCQBKD0AiEgBEIEvDxRx3pIowURLYymSyIRF1rQ0sI2slDSkJKHUtwnQEk8SuZFlrVr12LWrFnTGifNKYlBCaVwIc0pISHJW/d1o6Q5JfIik0ikGWlnVGJpTsknSkJJcZ8AJYMoKRQudI+kcUOJ9+lKPJq7H5X3LcSaqxYtWgT6Z1ROnjyJK1euTFaj5C3Nj0aaG7UrfzcmIM8nxoxUrSHPJ9Mr4+V1hap9UvwSAmYISALQDCWpIwSSgICXJ+pYu8HKysowZ84cQ2Xt7qowbFgqGBKIdzdYe3s7Tp06FWXHaNenoVNSwRSBeHaD2d1VYcoxqTQtAUoCUTIosljZDdbU1IQLF6I/rGS061MkiZ9AvLvV7e76jN9zaUGeT/TsA/J8Yqzb/2fvXYCjuq5873936/0AIUBCEu/3Q4BAvGQHe7DLb+eOk4kZ29jJ5FZcOMnkxtdTk0kyVc4klTvJN5547JnrxIRkHA9x7EtSdqZisE0SbIMNCJAQLwlJSBiwhIVA6I3e/dVq06JbtHQefc7qfU6vXeXCNvvstdbvv/fZZ68+Z283ryu0o5caQkBdApIAVFcb8UwIsBJwy0Td0dOPT9p60NU3iPQkH7JTvDh5tCzsk0Lax2r58uW6Pyns6uoK7JMU+jZTcF+lkfamjE9BZoqcWmq080bieK6uBpTECxaj+8GNta9Sn98b1k9EN6OKXa8/UrsUfw/qToUnXo3uBzfavkpZk6eIbualCrtypG45mUmoPnE0qv3gxtr3ke7JofdmGXPmhRyp3UDHJTR9HP6mtNH9aiPt+0jzZEJqhuhmXqoxx5w8n1gE1uZm5PnEHGC3rCvMRS9XCQF1CUgCUF1txDMhwErAyRM1JXr211/Gtv1nsauyCYND1/eu8nqAlTk+3D49EQuzvYGkHx0qkJGRYYhvbW0tGhoaAteQvVMtQyhrT8e7tS1h9nxeD+5akotH181AyeyJupOMhpxxSeWxdPN5gBUjdDNzImzoyYpB3T646MOB892iWxT9yMiYo0MFjJ4IG3qyYlC33ecHUH5xUHSzSbdIY27hwoWYMmWKIYuhJz8HtSttScbeM+2inSGS4ZWNjDk69MjoifWUvC0tLQ2c/BzU7b1GPw5f6BPdmHST55MoQFt8qTyfRA/UyeuK6KOXFoSAugQkAaiuNuKZEGAl4NSJ+kRDG57aXoGapk5NXgUZHnxnQwHuv3m5Zt2RFWhRRIuj05d7sfV4Lxo6rycZR2tsfm4Gnt1YhMKC8Ybtuf0Co7o9sSIdD915ExITjb9dWV1djf2nPhbdLOpURrX74f3zsaHI+Gmw7e3teP3dQ6JbjHR7cl02vnD7WsM/YtDCuby8HMc/bhXtYqTdTzYWYd38fMPWGxsbsetQlehmmFzkC4zeK+X5xCLwUTZjVDd5PokM3Knriii7j1wuBJQnIAlA5SUSB4UADwEnTtR7a5uxeVsZuvsGdUNKS/Jhy2PFWD9Pe/+/kY2+sa8K395Rj1795hCNPd1BOayiGd1SE734+RdXmdLt3coLeOKVctHNgn5iRjuzY4BsPf7yIfQMaCfbg6GZtWUBGqWbMKNbNGPu7YqP8M3fnpQxZ0GvMKOd2XGwp+YiHn/5MHoHZcxFKx2nbuSrPJ9Eq9in15vRLZp7pZufT5y4rrCmF0krQkBtApIAVFsf8U4IsBFw2kRNv9Bu3LLfUPIvNEmwfXOJoTfzuO2xCc9siJsjtz1mnKzmOFly2mKFGANj3Cy57cUAKZtJTpacttgAxsgQN0tuezHCartZbo7c9mwHOMKA09YV3HzEnhCIFQFJAMaKvNgVAooRcNJETZ+Y3fXcHl2f/Y6GeUFuJt5+cr2uz9u47SnWNSxzh5sjtz3LQCnYECdLTlsKorbUJW6W3PYshaVYY5wsOW0phtlyd7hZctuzHJgiDXJz5LYXC8xOWlfEgo/YFAKxIiAJwFiRF7tCQDECTpqo99VdwiNbS6Mm+Orj61AyZ6JmO9z2NB1yaAVujtz2HCqLLrc5WXLa0hW8gytxs+S252BpNF3nZMlpSzNwh1fgZsltz+HyjOo+N0due7HQzUnriljwEZtCIFYEJAEYK/JiVwgoRsBJE/XXXinDzuOfRE3wvqV5eGHTSs12uO1pOuTQCtwcue05VBZdbnOy5LSlK3gHV+JmyW3PwdJous7JktOWZuAOr8DNktuew+UZ1X1ujtz2YqGbk9YVseAjNoVArAhIAjBW5MWuEBiDwLlz5/Dv//7v2LFjB+jfk5OTMXfuXGzcuBFf+9rXkJaWZjk/p0zUHT39KPrBHzE4pH+T8tFg+bweVDx9BzJTRj9Zltue5cIq0iA3R257imC2xQ1Olpy2bIGlUKPcLLntKYTaclc4WXLashyUYg1ys+S2pxhuy9zh5shtzzJQBhtyyrrCYFhSXQg4noAkAB0voQTgNgKU9Nu0aRPa2toihrZgwQLs3LkTs2fPtjR0p0zUtU0duOPf9lgW+5+eugVzczJHbY/bnmWBKdYQN0due4rhttQdTpactiyFpGBj3Cy57SmI3DKXOFly2rIMkKINcbPktqco9qjd4ubIbS9qQCYbcMq6wmR4cpkQcCwBSQA6Vjpx3I0Ejh49iptuugnd3d3IyMjAd77zHWzYsAFXr17Fa6+9hq1btwbCXrhwIQ4dOhSoY1VxykRdcb4VD7zwoVVh4/dfvxlF07JGbY/bnmWBKdYQN0due4rhttQdTpactiyFpGBj3Cy57SmI3DKXOFly2rIMkKINcbPktqco9qjd4ubIbS9qQCYbcMq6wmR4cpkQcCwBSQA6Vjpx3I0EKNn33nvvISEhAXv27EFJSUlYmM888wy+9a1vBf7f97//fTz99NOWYXDKRM39yym3PcsEVawhbo7c9hTDbak7nCw5bVkKScHGuFly21MQuWUucbLktGUZIEUb4mbJbU9R7FG7xc2R217UgEw24JR1hcnw5DIh4FgCkgB0rHTiuNsI0Bt9a9asCYS1efNmvPjiizeEODQ0hMLCQlRVVWHChAloampCYuLo+9cZYeSUidrKvVMSvB4cYdwDUI89I5o5qa7o5iS1wn3l1I7TlnMV0ec5N0tue/ooOLMWJ0tOW85UQ7/X3Cy57ekn4aya3By57cVKDaesK2LFR+wKgVgRkARgrMiLXSEwgsA//uM/4p//+Z8D//fAgQNYu3ZtREY//vGPA58GU9m1axfuuOMOS1g6aaLmPj2N254lgirYCDdHbnsKIrfMJU6WnLYsA6RoQ9wsue0pit0StzhZctqyBI7CjXCz5LanMPqoXOPmyG0vKjgmL3bSusJkiHKZEHAkAUkAOlI2cdqNBG655Rbs3bsX6enpaG1tDXwGHKns378/sE8gFfoEmD4FtqI4aaLeV3cJj2wtjTrsVx9fh5I5EzXb4ban6ZBDK3Bz5LbnUFl0uc3JktOWruAdXImbJbc9B0uj6TonS05bmoE7vAI3S257DpdnVPe5OXLbi4VuTlpXxIKP2BQCsSIgCcBYkRe7QmAEgcmTJ+PSpUtYvnw5KioqRuVz5coVZGdnB/7+wQcfxPbt2y1h6aSJ2u/3467n9qCmqdN07AtyM/H2k+vh8Xg02+C2p+mQQytwc+S251BZdLnNyZLTlq7gHVyJmyW3PQdLo+k6J0tOW5qBO7wCN0tuew6XZ1T3uTly24uFbk5aV8SCj9gUArEiIAnAWJEXu0IghEBPTw9SU1MD/+e+++7Dm2++OSYfOv23q6sL69atA70RqKfQRDxWuXDhwvAehOfPn8fUqVP1NBuzOica2vDgi/twtX/IsA9pST5s31yCwoLxuq8lexu37Ed336Dua4IVzdgzbMQhF3Bz5LbnEBlMuRkYcz/bh6sD9o850c2URBEv4mbJbc86Uuq1RCy/8LMP0TPgN+yc0XlHdDOMeNQL5PnEOpacLXGPAW57nCzJliQAuYmLPSGgj4AkAPVxklpCwFYCzc3NyMnJCdj467/+a7z22mtj2svNzcXFixcDB4IcP35cl2963nQLNuSEBCD9evrLHfvwzP5W9BrIydGiaMtjxVg/b7IubqGV9tY2Y/O2MkNJwNREL37+xVWm7Bl20CEXvLGvCt/eUa+0bsk+D7Z+aRVumf/puJQC9PX14Rdvfojny7pZtDMz3pJ9wPMPLsHdRTNFshACr/y5DD/Y/QmLbmTWjHYpCTTmVsu9MkQ32g7k138qw38c6WHRzoxuNOZe3LQSGxbnyZi7RkCeT5zbFeT5xDrtJAFoHUtpSQhYSUASgFbSlLaEgEkClHCbPn164OrHHnsM//Vf/zVmS1SXrpkzZw5Onz6ty6rbEoANDQ2ora3FR22D2Hq8Fw2d2m9I0Ge/P9m43NCbfyPh0i+2T22v0PX58dQMDzavSMdDd95k2WnNusRWuFJ/fz9KS0tx+nKv0rp9ZWky7ly9CPn5+QrT5HWturoa9KYw55gzOt5It6VTs7By5Updn/fzEoyNtfb2dpSXl7PqRpGa0e7zG1Zj3LhxsQGlmFVKIpWVlaGzs5NVOzO6lSycigULFihGMHbuyPNJ7NhHY1meT6Khd+O1kgC0lqe0JgSsIiAJQKtISjtCIAoCHG8AuukTYHpIO3jwIOhPKrRQOns1CaUtKdhV2YTBoevJwASvB3ctmYJH183AutnZliQFyN6B+hZsO/AR3jl5o70VOV7cNi0RC7O9AXuURJo/f34UPcQ9l9bU1KCxsXFYt1MtQyjvSMfumpaY67Y6Lwm35HuGdUtMTAycxj3agTzuUUU7ko6OjkAyIlhoDFxEFt5vHIo4Bqwcc1rjbf3scVgzoXdYN/KRkhF5efJGErE7cuQIKAkYvFfWtgHlHRn4Y1VzzMfcylwfNkxNGNaOkn8rVqyw5D6t3avVrkHJdkq6h465jtQ8vF3XFfMxVzItDTflDIaNueLiYmRmZqoNlcE7eT5hgGyTCXk+sRasJACt5SmtCQGrCEgC0CqS0o4QiIIAxx6AWu45aaKmtx5HJjSLioqQlZWFjp5+NLX3oLN3EBnJPuSOS0FmSqJW+Kb/PpK98/W1gU+0Q8vq1asDJzzHc6E3WQ4fPhyGgD59X7x4sRK6DVztxNGjR8P8o70w586dG8+yBRLsdDBRW1vbMAefzxfYMzQ5OZlVu0jjLT3JF+hX3d3dw/4lJSUF/Iv35G1TUxOqqqrC+i+9OT5t2jRW3ciBSNq1Nn+Curq6MP8WLVoE2uYinsvAwEDgRy767D5Y0tLSsGrVKni9XlbtIumW5BkK+Dc4eH3/jfHjx4PmYSNfG7hRY3k+caaq8nxivW5OWldYH720KATUJSAJQHW1Ec/ijICcAqxPcFrkHzp0KJCUCJZJkyYF9kNUpVBClxZHQ0PXD0uYMGECli1bFreLI9Lr2LFjoFOsg4UWspSkSUlJUUU6nDhxInAad7DQYpaSt7T4jtdCyezKysqw8GfNmoUZM2Yog6SlpSXQv0ILbZUwe/ZsZXzkdoSSM3Qf6u3tHTZNh01Rf6axp0KheyTdz69evTrsDiWV6b5ASeZ4LfX19Th37lxY+DR/ZGdnK4Pk7NmzOHPmTJg/S5YsAT3LxGuR5xNnKi/PJ/boJglAe7hKq0IgWgKSAIyWoFwvBCwicMstt2Dv3r2Bt8Ro4+/R3lyhU39vuummgNWnn34a3//+9y3xwCkTNS3yabEfLJSgocVi8BRlS2BY0AgtjGiBFFooSUnJyngslFSj5FpomTlzJugflQolIihpEppgpkU3Lb7jsURKIlHClsacKkmkoC50INLly5eVvzdw9SOn3IMi3RsouUxJ5ngske5BEydOxNKlS5XCQclbulfSD17BQvcGSjDHa/JWnk+U6qK6nZHnE92oDFV0yrrCUFBSWQi4gIAkAF0gooTgDgLf/e538aMf/SgQzIEDBwJ7j0UqP/7xj/Gd73wn8FfvvPMO7rzzTksAOGGipsX9yFOPVX3Lxwlv31jScXQ04rS3fJzw9o0O7JZUcdJbPk54+8YSUXQ04qS3kJ3y9o0O7JZUcdJbyLR/8cmTJ8PiVu3tYEtE0dGIPJ/ogKRgFXk+sU8UJ6wr7IteWhYC6hKQBKC62ohncUaAfkkPJv02b96MF1988QYC9KBCb5HRnk603x19mkcHFVhRVJ+oKXY79/mifY4+aetBV98gaE+xKeOj3zsw0v5b9Eni9JwsoL0R6OsCktKBcflAin0nX9oR25h9rqc9LL7z7UOo+zh8T0Sr9vmyI7Yx99/q62TTzo7YjOjWmzIJpRWVYZ+y031n+fLllnzKbkd8kfbfIn8npPrYdCPGdsQ2qnYjxhvdT07WnQclZ4KF3pSm/eOs2IfUjti6uroC9/fQN2+D+4MiQnx23S/tiM3ImLsylIajp+rDLrFqH1I7Yhtzf1B/b9yMuaHMKTh8vMa2fUjt0E6eTz59/nLV84kiWzsEb2CqryusWDtJG0LAiQQkAehE1cRn1xIIfgZMn//u2bMHJSUlYbE+88wz+Na3vhX4f9/73vfwT//0T5axUH2iJv9ocR9aFi5ciClTpphmQIuX/fWXsW3/2RtOD/YFTg/ODZweXDJ7oqmER9gJnH4/slqPY2rjW5h4qRQe//XN0+HxAYvuB1Z/BZi5HvB4TMcUvNDu2G5wkPZk/GgvcHArcGoHEBKf3+NF86R1aMy/B61ZSzFu/PioTvrkiC3sBM5r2s1v24O0s7vDYrNaO47YwrQbUzcfmietHdaN+iUlkTIyMkz3T7vjo+RtaWnppyeEX9NtetMuTGja564xZ1C3goICzJs3T1ndyLHa2lo0NDR86uM17ZZ07UNi3a44GnPh98rEpKSoTiK3e7yRVGGHJ1zTbfbl3RjXsMdW3T7tJvbO4dHcK+X5ZPTbDatu1+4nrn0+uYaZDiujHwtUKqqvK1RiJb4IAU4CkgDkpC22hIAGgSNHjuDmm28ObIhOi2z6LHjDhg2B/37ttdfw85//PNDC/PnzA29LZGZmWsZU5YmaFvO0qKfFfbBQ7CtXrjSVmKM2TjS04antFahp6tRkOD83A89uLEJhwXjNuiMrtLe3o+b932JR1XNI7w7f1D1iY5MXAZ97EcgvMmwreAFXbMMONlYAbzwBNIefNhopgK606fB/7kVkzLvZVHxcsdECpby8HP7GCjbtuGIzq1vz+h9iZslfmtKNc8w1NjaisewtNt04YwvANzjeagr/DoV3bDL9tjhXvwze51OuVLNpxxWb2THXffezmLzsDlNjjjO26upqdNR8wKab6mPubPF3sei2h+T5JELP5eyXZu6XTnoOtDKxAAAgAElEQVQ+6ejoGCZMLw7QV0RWfRVk6qYz4iKV1xVWxCdtCAGnEpAEoFOVE79dS+APf/gDHn30UVDiKFKh5N+OHTtAv/ZZWVSeqGtqakCL+tCyYsUKjB9vPCFHbeytbcbmbWXo7gt5C08DZlqSD1seK8b6eQZPOKzbjaFXH4F34Popl5q6JaYDD/0amHObZtWRFVhjI+N1u4HXHgX6u/T7ajI+7ti6jv0BKb//CnxD1ze51wzSIbGZ0c2fmAbPQ68o3y/9p2nMPQzfoP26xeJ+YnS8DSWkwvvwb5TXjVg2H9iO7F3fkDF37UbjT0yHx8RcwH2v7K/eBe/2x2TMDevmjHslzQPyfDJiVnfIHN7W1gZ6aSC05OfnB14QUKWovK5QhZH4IQRiQUASgLGgLjaFgAYB2nj/+eefDyT6aAJNSkoKJPwefPBB/O3f/i3S0tIsZ6jqRB32edG1qIf3hjJBgX593rhlv6HkX9AMJQG3by7R/yYgvanz0r3GkmNBY/QQ+uWdht4EZI2N/GSMT2KL3NkN90lm3cgcq3aMfVJiG/0GbLZf+l+6Fx4jPyaYvF+y9knmMefm2GTMWTjm3HyvdPuYu9YNKisrA3uBhxY6hduKvV5NPF7fcImq6worYpM2hICTCUgC0Mnqie9CwEICKk7UVp8OSe3d9dweXZ/9joZ2QW4m3n5yvfanPbRH109LdH0WO6qMOYuBr+7TtScga2zkMGN8EtvYA113n2TW7VNzMubGUk+3dozjjV035n7J2iclNu2nFFXnOTePOTfH5vYxFzKiVD/tXcV1hfYNSWoIAfcTkASg+zWWCIWALgIqTtSXLl3CiRMnwvyfOXMm6B8zZV/dJTyytdTMpWHXvPr4OpTMmTh2O2f2AC9/Nmpb+NKbwKz1mu2wxkbeMMYnsWnKD119klk3MseqHWOflNi0+yTVULFfsvZJ5jHn5thkzFk45tx8r3T7mBvRDc6cOQP6aii0FBYWYtKkSfo6jI21VFxX2BiuNC0EHENAEoCOkUocFQL2ElBpoqY3NHp7e1FWVgb6hTNYkpOTUVxcDJ/PZwrG//p/R/H2yfDPJcw0dM+SXDz/18vGvDTh9f8J76k/mGk+7JrBhf8Dg5//pWY7nLGRM5zxSWya8kNPn+TWjexxasfZJyU27T5JNVTsl5x9knvMuTk2GXPWjTk33yvdPuZG9oLBwcHAszI9MwdLSkpK4FmZnpk9Ho++jmNDLZXWFTaEJ00KAccSkASgY6UTx4WAtQRUmqj7+vrw1ltv4cqVK2FB0i+adDqymXJ1wI+v/7kbQ34zV4df4/UAL9yehtSEyA9WvoFufOaDTfBgKGpjfnjxwWdewWDC6Ps+csZGAXHGJ7Hp60JafZJbN7LHqR1nn5TY9PVJqqVav+Tsk9xjzs2xyZizbsy5+V7p9jE3Wi+gvbLpi5nQMmHCBNxzzz2BPcRjVVRaV8SKgdgVAioSkASgiqqIT0IgBgRUmqjpYeb111/H0ND1BBr9kjllyhTTv2Y2dA7hHz8wcBKvhgb//JlU5Gd4I9ZK6zqHNYe+YZmKB1f/X3SnTxu1Pc7YyAnO+CQ2/d1orD7JrRvZ49SOs09KbPr7JNVUqV9y9knuMefm2GTMWTfm3HyvdPuYG60X0Fczn3zySdhbgF6vF5///OdN/2hurMdFrq3SusKKeKQNIeAWApIAdIuSEocQiJKAShM17Wfy7rvvhkWUl5cX+JzBbKlvHcQPDlz/nNhsO8Hrnl6XgtlZkT9FzmyvQXH530drYvj6spXPoGPc/FHb44yNnOCMT2LT343G6pPcupE9Tu04+6TEpr9PUk2V+iVnn+Qec26OTcacdWPOzfdKt4+5sXoBfQJ84cKFsCq33XYbpk+fbqzzWFhbpXWFhWFJU0LA8QQkAeh4CSUAIWANAZUmavoEePfu3WhpaQH9O332G+2GxpxvR8gv7Mb65FhvOHLqRl5zaufm2IglZ3ycuklsxsa3vAHI8zY453jjvlfKmLNuzLn5XsndL7nHnFYvoM+A6Qsa+uw3OzsblACUT4C1qMnfC4H4IyAJwPjTXCIWAhEJqJQApM8Z+vv7QX9evHgRWVlZUb39RwF39gxg9Y/fw6AFmwAmeD04+O2/QEZKQuTe1NuBxGfnweMfjLq3+b0J6P/fNUBy5qhtscZGXjDGJ7Hp60KafZJZNxlz+nSjWpraMY43dt2Y+6XcT/T1S80+yawbe79085hzc2zM/ZL9fqIxfOktwNbWVuTk5AS2y0lMTDS9bY6+O8XYtVRaV1gRj7QhBNxCQBKAblFS4hACURKIh4n6a6+UYefxT6IkBdy3NA8vbFo5djvbvwhU/nfUtrD4AWDjy5rtsMZG3jDGJ7Fpyq+vTzLrRuZYtWPskxKbdp+kGrrulcz9krVPSmz6OoqK85zcT7S1U1E3t485bVWUqREP6wplYIsjQsAAAUkAGoAlVYWAmwnEw0S9r+4SHtlaGrWMrz6+DiVzJo7dzpk9wMufjdoWvvQmMGu9ZjussZE3jPFJbJryQ1efZNaNzLFqx9gnJTbtPkk1VOyXrH2Secy5OTYZcxaOOTffK90+5vR1AyVqxcO6QgnQ4oQQMEhAEoAGgUl1IeBWAvEwUdMnxXc9twc1TZ2mZVyQm4m3n1yv/VmF3w/8tARorjJtCzmLga/uAzwezTZYYyNvGOOT2MaWX3efZNbtU3My5sZST7d2jOONXTfmfsnaJyU2zblL2XnOzWPOzbG5fcxpjyhlasTDukIZ2OKIEDBAQBKABmBJVSHgZgLxMlGfaGjDxi370d1nfH++tCQftm8uQWHBeH1dobECeOleoL9LX/3QWonpwJd3AvlFuq9ljY28aqzA4C/vhm/wqm4fhysajC8WsXFpF4vY/C/dA09/t+26kQHW+Nw85hor4H/pXnhcfD9x85gb+s+74R2Qe2XYTcfgPBCL+4ncKyNME6rr5vbnE+Mzd0yuiJd1RUzgilEhEAUBSQBGAU8uFQJuIhBPE/Xe2mZs3lZmKAlIyb8tjxVj/bzJxmSv2w289qihJOCgNwU9D/wC6cuMf0LMGRttNn12969QeOJH8A316OdCi4eHfg3MuU3/NQA4Yws4ZkK7oYRUeB/+jdKx0RtQNW9twdzD32PRjVCyamdCt0FfCoY2bkPigjsN9Unu2JoPbEf2rm+4UzcXjzk6zb5654tYfOz/sGjHOt5M6kZjzvvwq/DMNTYPcI+5c+/+CgV7/4FFN+7YzMxx8nwSeYpgH3OGZyr+C+JpXcFPVywKAfMEJAFonp1cKQRcRSDeJmp6K+mp7RW6Pgemz/R+snG5/jf/RvYMeivpjSd0fQ7cmT4DpxZ+E578IqxcuVL7U+MIvZAjNkoilZWVobOzExkddVhU9RzSu89pjwn6rPmBnxl6szG0UY7YwoIwod38Wx/EuHHjtFmMqMEVW2NjI2pqalh1o1C54gtgNaFb5vzPYMGCBYZ144qNTkYvLS1FypVqtvHGFVs0Y652yVMovGNT4MRLo4WrT1ZXV+PChQusY44rtmHmJsZcfvE9yM/PNypboD5HfO3t7SgvL2fVjSu2aHST55PIXZajT5oaLDG6KN7WFTHCLGaFgGECkgA0jEwuEALuJBCPEzUlsQ7Ut2DbgY/wzskmDA75h8VN8Hpw15IpeHTdDKybnW0qERfWU2jPnY8+AA5tBareBPwhnyB7E9A943bUjFuP1qzC4T3/KBmRl5dnqsPZHRstZmlRO1z8fixJv4LJH/0+YnxYeD+w+ivAzM/o2tNwrKDtju0G22No5/cm4NKkdWjIu3tYO0r+rVixwlSfsTs2SiIdPHgQ9Geg+P3I663D/PY98ETol1bq9qk5dcZce8GtqM/eEDbmiouLkZmZqeSYo6QtJW+DumW1nsCS7n1IPP3ODfcTR+t2rV+Odr+kMdc8cS0a8+8Z1q6goADz5s1TUreOjo7AjyWh98rZ3kZMb3on7u6VV3JvwrmcO4d1o6Tt2rVrkZCQoJx2dK86cuQIKAkYHHPZHZUo7N4Pb/VOd405eT5x7vOJqZHDc1E8rit4yIoVIRAdAUkARsdPrhYCriEQ7xN1R08/mtp70Nk7iIxkH3LHpSAzxfgbJbo6RE870HEB6O0EkjOAzDwMJWXg8OHD6O6+vi9bUlIS1qxZY3pxFPTF6tgGBgYCSST6rC1Y0tLSsGrVKni9XiBCfEgx/kacHpZWx6ZpM0Js55vbUFdXF3bpokWLkJubq9ncWBXsiO306dOgsR5aioqKkJWVxaob2bcjvlF5RtCt15Mc6MeDg9eT8ePHjwfx8Og4eIdTO3rTlu4PoSUnJweLFy92t24UcATtKus/xsWLF4dxkF50/0lPT1dqzFESqaKiAm1tbcN++Xy+wH09OTmZVTvW8TaKbleuDuLo0aNhGk2dOhVz586NSjc77idNTU2oqgo/xGvOnDmYNm0aq252xDYmbHk+ibov2vXsZZljTA3F+7qCCbOYEQKGCUgC0DAyuUAIuJOATNSx17WlpQXHjh0Lc2T69OmYPXt27J0L8YCSXefPnw/zadmyZcjOzlbKTy5nhoaGcOjQIVy9en2Df1rc0yKfFvuqFEouk5+UlAiWSZMmobCwUBUX2f04e/Yszpw5E2aXkmqUXFOlkF50X7hy5cqwS5Rop/6VkpKiipusfvT09ASStzT2gmXChAmg+1C0yVsrA6EkZWVlZViTs2bNwowZM6w046i2Tpw4gUuXLg37THqtXr0a9COSKoV+FKD+1dvbO+xSampqwM/Aj1xxWOT5JA5FjzJkWVdECVAuFwI2EZAEoE1gpVkh4DQCMlGrodjx48dx+fLlsMURLfRp8aFCoSQXLYxCk0gTJ07E0qVLVXAvZj7QgpYWtqGFFvm02FelUBKJFnHBQgtZWtCq0rdiwYkW+pQUpYRSsFBSjbiokryN1LdmzpwJ+ieeCyVuKYEbWiiZTUltFUqkJBL1Lbqfx2sSiXRxwhwSqW/RHEdzXTwXeT6JZ/WNxy7rCuPM5AohwEFAEoAclMWGEHAAAZmo1RBJ9be0nPD2RiyUVP0tLUoq0+IttKj4dmkstGtubsbJkyfDTKvylpZT3i6NhW6qv6UV6e3SJUuWYPJkgyfJxwKuzTbr6+tx7lz4oVGqvEXulLdLbZYoYvPyfBIL6s61KesK52onnrubgCQA3a2vRCcEdBOQiVo3KtsrRtqnbfny5UhIzcAnbT3o6htEepIPU8bbuE/htT3aQu2l+HtQdyo8UWLV/k22Q2Uw0NXVFdinLfTtyOA+bbT/Fpd2I23lZCah+sRRW/aXZMBqu4mx9mnr83vZdKNAR2o30HEJTR+Hv+Vmxf6StkNlMjDaPm1Zk6fEVLfsFC9OHi0L+0SZ9tmk+7hKnygzyXSDmbH2kaX5LVb3SppTz9XVgH4UCBar9peMFWur7crzidVE3duerCvcq61E5mwCkgB0tn7ivRCwjIBM1JahjLohWhyVlpYGTmql5MSpliG81+jH4Qt9YScV+wInFecGTioumT3RkoUl2dtffxnb9p/Frsrwk5G9HmBljg+3T0/Ewmwv6JCSaE5wjBqUgg3U1taioaEh4FlQu7L2dLxb22KrdmPp5vMAK0J0owXtwoULMWXKFAUJxsal0JNag7p9cNGHA+e7bdUt2E/0jjk6pMTsCdOxIWuv1dCTWoO67T4/gPKLg0rpFkwiZWRk2AvEQa2HniQf1K60JRl7z7Tbqp3Re2U0J0w7SA7drsrziW5UcV9R1hVx3wUEgKIEJAGoqDDilhDgJiATNTfxse01NjZi16EqbD3ei4bO64c2jHbV/NwMPLuxCIUF400HcqKhDU9tr0BNU6dmGwUZHvzw/vnYUBT96Y2axhxUgZK2lLw9fbmXTTujuj25LhtfuH2tJQljB0mj6Wp1dTX2n/qYTTdyyKh2P9lYhHXz8zVjiacK7e3teP3dQ0rr9p0NBbj/5uXxJItmrJSIKy8vx/GPW9m0MzrenliRjofuvAmJiYma8cRTBXk+iSe1zccq6wrz7ORKIWAnAUkA2klX2hYCDiIgE7VaYu2puYjHXz6M3kHt5F/Q87QkH7Y8Voz184zvMbW3thmbt5Whu29QN4ho7Ok24sCKb+yrwrd31KNXP0qYZWlGt9REL37+xVWm+okD5dDt8ruVF/DEK+UsupFTZrQz2090Q3BgReL4+MuH0DMg90qnyfd2xUf45m9Psow5M+NN7pWRe5Q8nzhtpMXGX1lXxIa7WBUCWgQkAahFSP5eCMQJAZmo1RGa3lLYuGW/oWRcaBJw++YSQ28CcttTh7T1nnCy5LRlPSm1WuRmyW1PLdrWecPNkduedaTUa4mTJact9Uhb6xE3S2571tKK79ZkXRHf+kv06hKQBKC62ohnQoCVgEzUrLhHNUafRd313B5dn+GO1siC3Ey8/eR6XZ94cttTg7I9XnCy5LRlDy11WuVmyW1PHdLWesLNkduetbTUao2TJacttShb7w03S2571hOL7xZlXRHf+kv06hKQBKC62ohnQoCVgEzUrLhHNbav7hIe2VoatTOvPr4OJXMmarbDbU/TIQdX4GTJacvBkuhynZsltz1dEBxYiZsjtz0HSqLbZU6WnLZ0A3BoRW6W3PYcKouybsu6QllpxLE4JyAJwDjvABK+EAgSkIlajb7wtVfKsPP4J1E7c9/SPLywaaVmO9z2NB1ycAVOlpy2HCyJLte5WXLb0wXBgZW4OXLbc6Akul3mZMlpSzcAh1bkZsltz6GyKOu2rCuUlUYci3MCkgCM8w4g4QsBSQCq0wc6evpR9IM/YnBI/2b2o3nv83pQ8fQdyEwZ/fRCbnvqkLbeE06WnLasJ6VWi9wsue2pRds6b7g5ctuzjpR6LXGy5LSlHmlrPeJmyW3PWlrSGhGQBKD0AyGgJgFJAKqpi3glBNgJyETNjvwGg7VNHbjj3/ZY5sifnroFc3MyR22P255lgSnYECdLTlsKorbUJW6W3PYshaVQY9wcue0phNpyVzhZctqyHJRiDXKz5LanGG5XuCPrClfIKEG4kIAkAF0oqoQkBMwQkInaDDVrr6k434oHXvjQskZ///WbUTQta9T2uO1ZFpiCDXGy5LSlIGpLXeJmyW3PUlgKNcbNkdueQqgtd4WTJacty0Ep1iA3S257iuF2hTuyrnCFjBKECwlIAtCFokpIQsAMAZmozVCz9hruX7y57VlLS63WOFly2lKLsvXecLPktmc9MTVa5ObIbU8NyvZ4wcmS05Y9tNRplZsltz11SLvHE1lXuEdLicRdBCQB6C49JRohYJqATNSm0Vl2oZV73iR4PTjCuAegHnuWgVKwIU7tOG0piNpSl7hZctuzFJZCjXFz5LanEGrLXeFkyWnLclCKNcjNktueYrhd4Y6sK1whowThQgKSAHShqBKSEDBDQCZqM9Ssv4b71Dtue9YTU6dFTpacttQhbI8n3Cy57dlDLfatcnPkthd7wvZ5wMmS05Z9xNRomZsltz01KLvHC1lXuEdLicRdBCQB6C49JRohYJqATNSm0Vl64b66S3hka2nUbb76+DqUzJmo2Q63PU2HHFyBkyWnLQdLost1bpbc9nRBcGAlbo7c9hwoiW6XOVly2tINwKEVuVly23OoLMq6LesKZaURx+KcgCQA47wDSPhCIEhAJmo1+oLf78ddz+1BTVOnaYcW5Gbi7SfXw+PxaLbBbU/TIQdX4GTJacvBkuhynZsltz1dEBxYiZsjtz0HSqLbZU6WnLZ0A3BoRW6W3PYcKouybsu6QllpxLE4JyAJwDjvABK+EJAEoHp94ERDGzZu2Y/uvkHDzqUl+bB9cwkKC8brvpbsPfizfbg6MKT7mmBFM/YMG3HQBZzacdpykASmXOVmSfa+8LMP0TPgN+yvjLnryGKh24Mv7sPVfrlXGu64Iy7g1I7TVrRcVL+em6U8n6jeI0b3TxKAztVOPHc3AUkAultfiU4I6CYgE7VuVCwV99Y2Y/O2MkNJwGQf8OKmldiwOM+Qj319ffjFmx/i+bJu9BrIOVIiYstjxVg/b7Ihe26vbEa71EQvfv7FVYZZvvLnMvxg9yeimwWdyoxuyT4Ptn5pFW6Zn2PIg9bWVvz6T2X4jyM9op0hcjdWNqcb8PyDS3B30UxD1umNpF/u2Idn9reKbobIRa5sRruUBBpzqw3fK9/YV4Vv76gX3WKkmzyfWADeYU3IusJhgom7cUNAEoBxI7UEKgTGJiATtXo9hH75fmp7ha7PgadmePCVpckoWTgVCxYsMBRMdXU1Lly4gI/aBrH1eC8aOrXfSqLPjH+ycbmhNw0NOeXwyka127wiHQ/deRMSExN1R97e3o7y8nLRTTcx7YpGdaMxd+fqRcjPz9du/FoNSiKVlZWhs7NTtNNNbeyKZnRbOjULK1eu1LVVQtB6Q0MDamtrRTeLdKNmzGj3+Q2rMW7cON1e9Pf3o7S0FKcv98ocp5ua9WNOnk8sgu+QZmRd4RChxM24IyAJwLiTXAIWApEJyEStZs+gZMGB+hZsO/AR3jnZhMGh68m5BK8HJdPScFPOIBZme4cXssXFxcjMzNQVUEdHRyAZESxk7yKy8H7jUER7dy2ZgkfXzcC62dmGFs66nHFZJS3tVuR4cdu0xGHtKIk0f/58XRSo7SNHjoCSgFTov2vbgPKODPyxqvmGfiK66cI6zHKsMbc6Lwm35HuGdaOk7dq1a5GQkKDLCCXbKekeOuY6UvPwdl2XjDldBCNX0hpv62ePw5oJvWH3SvqxJC9P3xvTlEQ6ePAg6M/gmDt7NQmlLSnYVXnjvVnGnH4xtbRbmevDhqkJw9pR8m/FihW656Camho0NjYO63aqZQjlHenYXdMi90r9Mt1QU0s3eT6JAq4LLpV1hQtElBBcSUASgK6UVYISAsYJyERtnBn3FR09/Whq70Fn7yAykn3IHZeCJM9QYFE6OHj9293x48ejqKhIc3FED+8VFRVoa2sbDsXn82HNmjVITk5GJHuZKfrfUOPmo7K9SCzP19fi4sWLYW6vXr0a6enpmqE0NTWhqqoqrN6cOXMwbdo00U2Tnv4KkXQbuNqJo0ePhjUydepUzJ07V7PhgYGBwHilz+6DJS0tDatWrYLX6xXtNAnqqxBJt/QkHw4fPozu7u7hRpKSkgL3Oz3J29OnT4PmydBC99msrCzRTZ8sumpF0q61+RPU1dWFXb9o0SLk5uZqtklv2pLuoSUnJweLFy8W3TTp6a8gzyf6WcVLTVlXxIvSEqfTCEgC0GmKib9CwCYCMlHbBJah2bNnz+LMmTNhlpYsWYLJk8fem4+ST5WVlWHXzZo1CzNmzGDwWkz09PQEkkFDQ9cPFJgwYQKWLVs2ZvKWkr10XW9v7zDE1NRUUPKQkkhS7Cdw4sQJXLp0adgQnbhN/CmZN1apr6/HuXPnwqqQ3tnZ2fY7LRbQ0tKCY8eOhZGYPn06Zs+ePSYdShoeOnQo8KZtsEyaNAmFhYVClYEA3SOJ/9WrV4et0Y9UlLylH61GK6QX6X3lypXhKnSPpOtSUlIYPBcT8nwSv31A1hXxq71ErjYBSQCqrY94JwTYCMhEzYbackO0OKKEECWUgoUWN5SQGG1xFCmJRNfQwkiSSJZLNGqDlLilBVJooaQCJRdGK2au4YsoPixRIoLGXGhCiJJ4lMwbrUS6ZuLEiVi6dGl8QFMkyuPHj+Py5cvD3lDylu57lEQfrVASiZKHwaLnGkXCdY0blHCnxHtooR+r6Eer0Uqka2bOnAn6RwoPAXk+4eGsohVZV6ioivgkBABJAEovEAJCIEBAJmpnd4Tm5macPHkyLIix3uYz+6u8symp573Rt/nMvjWoXuTO98jo23xm3xp0Pim1IjD6Nh8lCylpGFr0vDWoVtTO98bo23xm3xp0Pin1IpDnE/U04fBI1hUclMWGEDBOQBKAxpnJFULAlQRkona2rGPu5+fvBdobgb4uICkdvSmTUFpRGfbpKe1jtXz5cs19A51NSU3vI+3nR58kTs/JCtMN4/Jxsu48aDEVLPQmEu0fp2ffQDWjd65XY+7n19cZpt2VoTQcPVUfFqzefQOdS0hdzyPt50f3vwmpvjDdhjKn4PDxGtP7BqpLwJmedXV1BfbzC33zNrifH3raw7Q73z6Euo/D91jVu2+gM+mo67U8n6irjZ2eybrCTrrSthAwT0ASgObZyZVCwFUEZKJ2vpxhm537/chqPY7Zl3djXMMewH/9kBC/x4fmSWvRmH8PWrOWAteSSBkZGc6H4MAIwk70vabb1Ma3MPFSKTwauhUUFGDevHkOjNodLoed6HtNu/lte5B2dveIMedF86R1w2MuMSnJ0MnB7qClThSUvC0tLf30RN9ruk1v2oUJTfs0x9zChQsxZcoUdYKJM09qa2vR0NDwadTXtFvStQ+JdbvGHHPjxo83dHJwnGG1PVx5PrEdsXIGZF2hnCTikBAIEJAEoHQEISAEAgRkonZHR6iurkZHzQdYVPUc0rvDDxuIFGFX2nQ0r/8hZpb8pTsAODSK9vZ21Lz/W0O61RT+HQrv2ITERDmZOVayU/K2vLwc/sYKQ9p13/0sJi+7I1Zui10AjY2NaCx7y5BuZ4u/i0W3PSRvSsewB1HSlpK3KVeqDWnn/9yLyJh3cww9F9PyfBJffUDWFfGlt0TrHAKSAHSOVuKpELCVgEzUtuJla7y/ehe82x+Db/D6gSBaxv2JafA89Aow5zatqvL3dhGo242hVx+Bd+D6KZdapoYSUuF9+DeimxYom/++69gfkPL7r8A3ZGTMpcPz0K9FO5u1Gat5/2kacw/LvTKGGpg13XxgO7J3fcPQmENiOiBjzixyS66T5xNLMDqmEVlXOEYqcTTOCEgCMM4El3CFwGgEZKJ2Qd9orCbOVOwAACAASURBVABeuhfo7zIeDC2OvrwTyC8yfq1cER0B0S06frG8WrSLJX3ztkU38+xifWVjBfwv3QuPzHOxVsKYfRlzxni5oLasK1wgooTgSgKSAHSlrBKUEDBOQCZq48yUusLvB35aAjRXmXcrZzHw1X2BPQGlMBEQ3ZhA22BGtLMBKkOTohsDZJtMiHY2gbW5WdHNZsBqNi/rCjV1Ea+EgCQApQ8IASEQICATtcM7wpk9wMufjT6IL70JzFoffTvSgj4Cops+TirWEu1UVEXbJ9FNm5GqNUQ7VZUZ2y/RzZm6Rem1rCuiBCiXCwGbCEgC0Caw0qwQcBoBmaidptgIf7d/Eaj87+iDWPwAsPHl6NuRFvQREN30cVKxlminoiraPolu2oxUrSHaqarM2H6Jbs7ULUqvZV0RJUC5XAjYREASgDaBlWaFgNMIyETtNMVC/O1pB/6/mYB/MPogPD7gHz4CUsZF35a0MDYB0c25PUS0c6Z2opszdSOvRTtnaie6OVM3C7yWdYUFEKUJIWADAUkA2gBVmhQCTiQgE7UTVbvm88VTwE/XWhfA1w8CkxdY1560FJmA6ObcniHaOVM70c2ZupHXop0ztRPdnKmbBV7LusICiNKEELCBgCQAbYAqTQoBJxKQidqJql3z+eMy4Be3WRfAV3YDU4uta09aikxAdHNuzxDtnKmd6OZM3chr0c6Z2oluztTNAq9lXWEBRGlCCNhAQBKANkCVJoWAEwnIRO1E1a75LL+wO1M80c2ZupHXop0ztRPdnKmbjDnRLUhAvlBwTF+QdYVjpBJH44yAJADjTHAJVwiMRkAmagf3DSv32PEmAN86I3sAcnQH0Y2Dsj02RDt7uNrdquhmN2H72hft7GNrZ8uim510lW5b1hVKyyPOxTEBSQDGsfgSuhAIJSATtcP7g5yy50wBRTdn6kZei3bO1E50c6ZuMuZEt8UPABtfdi6HOPNc1hVxJriE6xgCkgB0jFTiqBCwl4BM1Pbytb31M3uAlz8bvZkvvQnMWh99O9KCPgKimz5OKtYS7VRURdsn0U2bkao1RDtVlRnbL9HNmbpF6bWsK6IEKJcLAZsISALQJrDSrBBwGgGZqJ2m2Ah//X7gpyVAc5X5QHIWA1/dB3g85tuQK40REN2M8VKptminkhr6fRHd9LNSraZop5oi+vwR3fRxclktWVe4TFAJxzUEJAHoGiklECEQHQGZqKPjp8TVjRXwv3QPPP3dxt1JTAe+vBPILzJ+rVwRHYGAbvfC099lvB3RzTgzK69orMDQf94N78BV462KdsaZWXWF3CutIsnfTmMFBn95N3yDMub44UdhUcZcFPCceamsK5ypm3jtfgKSAHS/xhKhENBFQCZqXZiUruT3+1Hz1hbMPfw9+IZ6dPs66EuB9+FX4Zl7m+5rpKK1BJoPbEf2rm8Y082bgp4HfoH0ZRZ8+m1tOHHTWl9fH6p3vojFx/6PIe2GElLhffg3wBwZc7HqLOfe/RUK9v6DId3oXjm0cRsSF9wZK7fj3m5rayvO7v4VCk/8yJB2MuZi23Xk+SS2/GNhXdYVsaAuNoWANgFJAGozkhpCIC4IyETtfJkbGxtRU1ODjI46LKp6Dund5zSD6kyfgVMLv4n84nuQn5+vWV8qWE+gv78fpaWlSLlSbVg3T34RVq5cCY98tm29MDparK6uxoULF0yNufm3Pohx48bpsCJVrCbQ3t6O8vJyU7plzv8MFixYYLVL0p4OApREKisrQ2dnp2Htapc8hcI7NiExMVGHJaliNQF5PrGaqPrtybpCfY3Ew/gkIAnA+NRdohYCNxCQidrZnYKSSAcPHgT9GSh+P/J66zC/fQ88VW8C/sHhAP3eBFzJvQnncu5Ea1ZhYM8/WhStXbsWCQkJzgbhQO8paUuLo6BuWa0nsKR7HxJPvxOmG7wJ6J5xO2rGrR/Wja6hZEReXp4DI3e2yx0dHYFkxPWB5cdsbyOmN70DRBhzlyatQ0Pe3cPaUfJvxYoVkrxl7gaURDpy5AgoCRgcc9kdlSjs3g9v9c4bxlx7wa2oz94QNuaKi4uRmZnJ7LmYo2Q7Jd1Dx9yS9CuY/NHvI4655olr0Zh/z7B2BQUFmDdvnoBkJiDPJ8zAFTEn6wpFhBA3hMAIApIAlC4hBIRAgIBM1M7uCKdPnw5oGFqKioqQlZUF9LQDHReA3k4gOQPIzMOVq4M4evRoWP2pU6di7ty5zgbhMO/pTZbDhw+HeZ2Tk4PFixdH1G0oKSNQv7v7+j6PSUlJWLNmjSRvGbWnJFJFRQXa2tqGrfp8voAOycnJEbU739yGurq6MC8XLVqE3NxcRs/FVFNTE6qqwg9LmjNnDqZNmxZRt15PcuDHlcHB6z+ijB8/HnR/lTdv+frTwMBAQAf67D5Y0tLSsGrVKni93ojaVdZ/jIsXLw7XJ72ofnp6Op/jYgnyfBKfnUDWFfGpu0StPgFJAKqvkXgoBFgIyETNgtkWI5QMOnToECgpESyTJk1CYWHhmPZOnDiBS5cuhS2OVq9eDVpUSbGfAOl17NgxXLlyZdgYLWQpiZSSkjKqAy0tLYHrQsv06dMxe/Zs+50WCwEClFSorKwMozFr1izMmDFjVEJDQ0OBcXr16vXDCyhZSHpT8lCK/QQoiUdJpN7e3mFjqampoPteIIk0Sjl79izOnDkT9reUpKdkvRQeApQ8P3/+fJixZcuWITs7e1QHenp6AnrT2AuWCRMmgK6T5C2PbvJ8wsNZRSuyrlBRFfFJCACSAJReIASEQICATNTO7QiUDKKkULDQQpYWtLSwHatQIoIWR6GJw4kTJ2Lp0qXOheEgzyn5SknY0DJz5kzQP1rl+PHjuHz58nA1WsxSIklLc6125e+1CURKIlHClviPlUSiliNpTklDSh5KsZ8AJfEomRda6H5H972xCmlOyVtKKAULaU73WUne2q9bNHNVJM3pxzH6kUyK/QTk+cR+xqpakHWFqsqIX/FOQBKA8d4DJH4hcI2ATNTO7AqUBKJkUGgx8jZYfX09zp0LPyxE660KZ5JSy+to3wYz+1aFWhSc6U2kt8GWLFmCyZMnawZk9q1PzYalgiaBaN8Ga25uxsmTJ8PsaL31qemUVNBFIJq31c2+9anLMak0JgF5PonvDiLrivjWX6JXl4AkANXVRjwTAqwEZKJmxW3KWEdPPz5p60FX3yDSk3zIyUxC9YmjUe0HN9a+SmQn1N6U8SnITJETFM2IN1K7gY5LaPo4/E0ko/vBRdpXafny5UhIzRDdzIgU4ZqRumWneHHyaFnYJ4W0zyZx1/tJYVdXV2Afx9A3b4P7Po60J2POnJCROJ6rqwEl8YLF6H5wY+372Of3ypgzJ9UNV43ULsXfg7pT4YlXo/vVjrbvY9bkKaKbTbrJ84lFYB3cjKwrHCyeuO5qApIAdLW8EpwQ0E9AJmr9rDhr0qJzf/1lbNt/FrsqmzA4dH2fP58HWJHjw+3TE7Ew2xtIQCxcuBBTpkwx5GLoyYpk71TLEEpbkrH3THu4Pa8Hdy3JxaPrZqBk9kTdCQ9Dzrio8ljaeT3AyhDt6FABoyfCUvK2tLQ0cPJzULf3Gv04fKFPdIuiHxnRLZhEysjIMGSxtrYWDQ0NgWuC2pW1p+Pd2hbRzhDJ65WN3ivNnAgbevJzULcPLvpw4Hy36GZSt+AYGG2eG3mvpEOPjJ5YH3ryc1C33ecHUH5xUHSzSTd5PokCrEsulXWFS4SUMFxHQBKArpNUAhIC5gjIRG2Om51XnWhow1PbK1DT1KlppiDDgyfXZeMLt681nJijBVF5eTmOf9yKrcd70dB5Pck4muH5uRl4dmMRCgvGa/oWjxWMaveTjUVYNz/fMKrGxkbsOlQluhkmF/kCo7p9Z0MB7r95uWHrlLSl5O3py72inWF6N15gVLcnVqTjoTtvQmKi8Teaq6ursf/Ux6KbBbpRE0a1++H987GhyPhp9e3t7Xj93UOiW4x0k+cTi8A7qBlZVzhILHE1rghIAjCu5JZghcDoBGSiVqt37K1txuZtZejuG9TtWGqiFz//4iqsn6e9F9nIRt+u+Ajf/O1J9Oo3h7QkH7Y8VmzKnu6gHFjRjHZmWe6puYjHXz6M3kHtpG0QpVlbDpTCkMucupFjb+yrwrd31MuYM6TSjZXN6BbNvfLdygt44pVy0S1K3ehyM9qZvX+RrcdfPoSeAblXRiudGd2iGXPyfBKtYrG5XtYVseEuVoWAFgFJAGoRkr8XAnFCQCZqdYSmNyI2btlvKPkXmtzZvrnE0Jt53PbUIW29J5wsOW1ZT0qtFrlZcttTi7Z13nBz5LZnHSn1WuJkyWlLPdLWesTNktuetbTiuzVZV8S3/hK9ugQkAaiuNuKZEGAlIBM1K+5RjdHnuHc9t0fXZ7+jNbIgNxNvP7le16fA3PbUoGyPF5wsOW3ZQ0udVrlZcttTh7S1nnBz5LZnLS21WuNkyWlLLcrWe8PNktue9cTiu0VZV8S3/hK9ugQkAaiuNuKZEGAlIBM1K+5Rje2ru4RHtpZG7cyrj69DyZyJmu1w29N0yMEVOFly2nKwJLpc52bJbU8XBAdW4ubIbc+Bkuh2mZMlpy3dABxakZsltz2HyqKs27KuUFYacSzOCUgCMM47gIQvBIIEZKJWoy987ZUy7Dz+SdTO3Lc0Dy9sWqnZDrc9TYccXIGTJactB0uiy3Vultz2dEFwYCVujtz2HCiJbpc5WXLa0g3AoRW5WXLbc6gsyrot6wplpRHH4pyAJADjvANI+EJAEoDq9IGOnn4U/eCPGBzSv0n5aN77vB5UPH0HMlNGP+WS2546pK33hJMlpy3rSanVIjdLbntq0bbOG26O3PasI6VeS5wsOW2pR9paj7hZctuzlpa0RgQkASj9QAioSUASgGrqIl4JAXYCMlGzI7/BYG1TB+74tz2WOfKnp27B3JzMUdvjtmdZYAo2xMmS05aCqC11iZsltz1LYSnUGDdHbnsKobbcFU6WnLYsB6VYg9wsue0phtsV7si6whUyShAuJCAJQBeKKiEJATMEZKI2Q83aayrOt+KBFz60rNHff/1mFE3LGrU9bnuWBaZgQ5wsOW0piNpSl7hZctuzFJZCjXFz5LanEGrLXeFkyWnLclCKNcjNktueYrhd4Y6sK1whowThQgKSAHShqBKSEDBDQCZqM9SsvYb7F29ue9bSUqs1TpacttSibL033Cy57VlPTI0WuTly21ODsj1ecLLktGUPLXVa5WbJbU8d0u7xRNYV7tFSInEXAUkAuktPiUYImCYgE7VpdJZdaOWeNwleD44w7gGox55loBRsiFM7TlsKorbUJW6W3PYshaVQY9wcue0phNpyVzhZctqyHJRiDXKz5LanGG5XuCPrClfIKEG4kIAkAF0oqoQkBMwQkInaDDXrr+E+9Y7bnvXE1GmRkyWnLXUI2+MJN0tue/ZQi32r3By57cWesH0ecLLktGUfMTVa5mbJbU8Nyu7xQtYV7tFSInEXAUkAuktPiUYImCYgE7VpdJZeuK/uEh7ZWhp1m68+vg4lcyZqtsNtT9MhB1fgZMlpy8GS6HKdmyW3PV0QHFiJmyO3PQdKottlTpactnQDcGhFbpbc9hwqi7Juy7pCWWnEsTgnIAnAOO8AEr4QCBKQiVqNvuD3+3HXc3tQ09Rp2qEFuZl4+8n18Hg8mm1w29N0yMEVOFly2nKwJLpc52bJbU8XBAdW4ubIbc+Bkuh2mZMlpy3dABxakZsltz2HyqKs27KuUFYacSzOCUgCMM47gIQvBCQBqF4fONHQho1b9qO7b9Cwc2lJPmzfXILCgvG6r+W2p9sxB1Ykll/42YfoGfAb9t6odqKbYcSjXkAsH3xxH672Dxlu1KhuZEC0M4w54gXcHLntWUNJzVYCY+5n+3B1wP4xJ7pZ1we4WXLbs46UtCQJQOkDQkBNApIAVFMX8UoIsBOQiZod+ZgGX/lzGX6w+xP0GsgBUiJiy2PFWD9vsuFg9tY2Y/O2MkNJx5QED7Z+abUpe4YddMgFra2t+PWfyvAfR3pYtDOjW7IPeHHTSmxYnOcQqva7SW+a/HLHPjyzv5VFN4rIjHapiV78/IurZMyFdIk39lXh2zvqldYt2Uf3ylW4ZX6O/Z3ZIRb6+vrwizc/xPNl3SzamRlvdK98/sEluLtopkOo8rgpzyc8nJ1uRdYVTldQ/HcrAUkAulVZiUsIGCQgE7VBYDZWb29vR3l5OT5qG8TW471o6NR+m4w++/3JxuWG3vwbGQL90v7U9gpdnx9PzfDgK0uT8fkNqzFu3DgbaTinaUoilZWVobOzk1U7M7qVLJyKBQsWOAeuzZ42NDSgtraWVTcKyah2m1ek46E7b0JiYqLNRJzRfH9/P0pLS3H6cq/y98o7Vy9Cfn6+M8AyeFldXY0LFy6wjjmj443muKVTs7By5UpdW2owYIu5CXk+ibkEjnFA1hWOkUocjTMCkgCMM8ElXCEwGgGZqNXoG5REOnLkCOghmwr9d20bUN6RgT9WNWNw6HoyMMHrwV1LpuDRdTOwbna2JQsUsnegvgXbDnyEd0423WBvZa4PG6YmYGG2N2CPkn8rVqywxLYaCpj3ghaztKgNFmLZkZqHt+u6IrK0Ujst3UqmpeGmnMFh3cjH4uJiZGZmmg/YJVdSEungwYOgP4Nj7uzVJJS2pGBX5Y1jwErdgvbGGnMrcry4bVrisHaURJo/f75L6EcXRk1NDRobG4d1O9UyhPKOdOyuaYn5vXJ1XhJuyfcM60ZJ27Vr1yIhISG6oF1wdUdHR+DHktB75UVk4f3GoZjfK9fPHoc1E3rD7pX0Y0lenrwxLc8nLhh8jCHIuoIRtpgSAgYISALQACypKgTcTEAmajXUbWpqQlVVVZgzc+bMwbRp09DR04+m9h509g4iI9mH3HEpyEyx702gSPZamz9BXV1dmH+LFi1Cbm6uGgBj5MXAwEAgiUSftQVLWloaVq1aBa/Xy6pdJN2SPEMB/wYHr39TPn78eBQVFcV98vb06dOg+19oIS5ZWVmsupH9SNqdr6/FxYsXw/xbvXo10tPTY9Tb1TBLb9oePnw4zJmcnBwsXrxYCd0Grnbi6NGjYf5NnToVc+fOVQNgjLygJFJFRQXa2tqGPfD5fFizZg2Sk5NZtYs03tKTfIF+1d3dPexfUlJSwL94T97K80mMBo1Dzcq6wqHCiduuJyAJQNdLLAEKAX0EZKLWx8nOWpScoSRNb2/vsJnU1FTQYp+SSCqUoaEhHDp0CFevXh12hxZttDiiRVy8lvr6epw7dy4s/GXLliE7O1sZJGfPnsWZM2fC/FmyZAkmTza+Z6QyQUXpCC3yqT9TUiJYJk2ahMLCwihbtu7ynp6ewH2Bxl6wTJgwAdS/9Jz0bZ0n6rREeh07dgxXrlwZdorukXQfSklJUcbREydO4NKlS8P+kF50P6cfB+K1UDK7srIyLPxZs2ZhxowZyiBpaWkJ9K/QMn36dMyePVsZH7kdkecTbuLOtyfrCudrKBG4k4AkAN2pq0QlBAwTkInaMDLLL6DkDCVpQgslIighoVKhBS0tbEMLLd5oERePhZKhlKAJTSJNnDgRS5cuVQoHJZDIT0ooBQslSyghEa/JW1rk02I/WChBQ0kkSryrVJxyb+BiFukeNHPmTNA/KpVI9wb6UYCSt/FYIiWR6B5EY06VH7mCuhw/fhyXL19W/t7A1Y+ccg+S5xOuHqFtR9YV2oykhhCIBQFJAMaCutgUAgoSkIk6tqI46S0fp7x9w6Wok97yaW5uxsmTJ8PQqPb2DZdutLinRX5oUfUtHye8fcOlm9PeQnbC28Fc2jnpLWQnvB3MpZs8n3CRdpcdWVe4S0+Jxj0EJAHoHi0lEiEQFQGZqKPCF/XFlJSh5Eyw0JtItH+cFft80T5Hn7T1oKtvELS/0ZTx0e8d2NXVFdgnKfStt+D+W+hpB9obgb4uICkdGJcPpNhzUrAdsY0p5ojYrgyl4eip+rBLrNrny47Yxtx/y9/LphsBsyO+UbUbodtQ5hQcPl5j2z5fdsQWaf8t+iRxek6We3UjQUdod759CHUfh++JaNU+pHboNub+oH2dbNrZEZuRe2VvyiSUVlSGfcpO+2wuX77ckk/Z7Ygv0v6g5O+EVB+bbrG+V9L8fbLuvHueT6J+WpMG9BKQdYVeUlJPCPASkAQgL2+xJgSUJSATdeykaW1tDWyKHloKCgowb948005Romd//WVs23/2hpNMfYHTg3MDpweXzJ5oevFVW1uLhoaGT330+5HVehxLuvYhsW4X4L9+2AQ8PmDR/cDqrwAz1wMej+m4PjVlf2xhDtL+cB/tBQ5uBU7tCIvN7/GiedI6NObfg9aspUhMSorqpE+O2MIOT7im2+zLuzGuYY+turFrN6ZuPjRPWjusG/XJhQsXYsqUKab7pt3ahZ3AeU23qY1vYeKlUnhsHG/sul27n+gdc+PGj4/qJHK7daNwwk4Iv6bd/LY9SDu729YxxxGb/nvljWOOfuTKyMhQdsxR8ra0tPTTE8Kv6Ta9aRcmNO1z15gzeK903PPJtR62YsUK0OFXUngIyLqCh7NYEQJGCUgC0CgxqS8EXEpAJurYCEsLtLKyMlBSJljopMG1a9ciMdHcCb8nGtrw1PYK1DRdb3O06ObnZuDZjUUoLDD+UEyLIlocpVypxqKq55DeHX4IRkSbkxcBn3sRyC8yBZwrtmHnGiuAN54AmsNPZo7kfFfadHTf/SwmL7tD+diqq6vRUfMBm24EhFU7g7qdLf4uFt32kOlkOFds7e3tqHn/t+7VjTqKQe38n3sRGfNuVnrM0X2+vLwc/sYKNu24+qTZe2Xz+h9iZslfmtKN837S2NiIxrK32HTjjC0A3+B4qyn8OxTesckxzyeUxA0WSjYXFxebvs+b7qxxeqGsK+JUeAlbeQKSAFReInFQCPAQkImah/NIK2Fvhlz7y7lz54I+IzVT9tY2Y/O2MnT3hbyBp9FQWpIPWx4rxvp5xk+DbT6wHdm7vgHf0PWDJTT9TkwHHvo1MOc2zaqhFbhjQ91u4LVHgf4u3X76E9PhcUBs/dW74N3+GHyD9utG8Fi1M6VbGjwPvWK4T8YitqFXH4F34Pop3Jqd0+R4Y4+NDJrQDibjY+2TALqO/QEpv/+K3CuvdVh/ojPGnP/0bgy9+rDcK6/pNpSQCu/Dv1H/XgmAnmvpM+7QsmDBAuTl5WneNqVC9ARkXRE9Q2lBCNhBQBKAdlCVNoWAAwnIRM0vWtjnRdfMp6WlBfb+M3MiIr3xsXHLfkPJv2DUlATcvrnE2JuAjRXwv3QvPAYSZMOUadH+5Z263wSMRWx46V5DyT+JLfIYYtWO3mZh0o2ildgia272fsKlHatuhIixX7o5Nhlzoz+nGB5zjH2SXbdgsnJoKLBXMR3oEixJSUmBU6fpSwsp9hKQdYW9fKV1IWCWgCQAzZKT64SAywjIRM0vaF1dHc6fPx9meNmyZcjOzjbsDH1idtdze3R99jta4wtyM/H2k+v1fR5Dewb9tETXp7GjBpOzGPjqPs09ASW2sbuDqrqR16zaMfZJiU37FqVqv2Ttk592FLlXjtVddM4DMuYsHHOMfZJdtxGYWlpacOzYsbD/q+pp79oKO6uGrCucpZd4Gz8EJAEYP1pLpEJgTAIyUfN2kKtXr+LgwYNhp+hOnDgRS5cuNeXIvrpLeGRrqalrQy969fF1KJkzUbudM3uAlz+rXU+rxpfeBGatH7OWxKYFEVBRN/KaVTvGPimxafdJqqFiv2TtkwSBsV+6OTYZcxaOOcY+ya5bBEzHjx/H5cuXh//G4/EE3gJMTU3VB1VqmSIg6wpT2OQiIWA7AUkA2o5YDAgBZxCQiZpHJ3r7hA7PqKysvOGBdOXKlaBPgM2U//X/juLtkxfNXBp2zT1LcvH8Xy/TbCfh9f8J76k/aNbTqjC48H9g8PO/HLOaxKZFEVBRN/KaUzvOPimxafdJqqFiv+Tsk8SAs1+6OTYZc9aNOc4+ya1bJEr0CXDgEB568/FaoR9cFy9eHDjMhBKCUqwnIOsK65lKi0LACgKSALSCorQhBFxAQCZqHhH7+vrw5z//GU1NTWEGx40bZ+rTX2rk6oAfX/9zN4auP9uaDsbrAV64PQ2pCaM/EPsGuvGZDzbBgyHTdoIX+uHFB595BYMJkROfEps+xKrpxt0vOfukxKavT1It1fql3E/0aaeabjLm9OmmZ8y5+V45FiX6FJhOUQ8tubm5uP3220H7AkqxnoCsK6xnKi0KASsISALQCorShhBwAQGZqHlE7O3txe9+97vAW4DBQgd+0Km/Zg7+oDYaOofwjx8YOBVUI9R//kwq8jO8o9ZK6zqHNYe+YRmwg6v/L7rTp0VsT2LTj1kl3bj7JWeflNj090mqqVK/lPuJfu1U0k3GnH7dtMacm++VY1EaGhoKnApMfwYLvf33hS98AcnJycYAS21dBGRdoQuTVBIC7AQkAciOXAwKATUJyETNo8ulS5ewY8eOGz5FyczMNO1AfesgfnCgx/T1Iy98el0KZmf5Rm0vs70GxeV/b5m9spXPoGPc/IjtSWz6MaukG3nNqR1nn5TY9PdJqqlSv+TskxQ7Z790c2wy5qwbc5x9kls3LUodHR1hW69Q/c9+9rOgz4GlWE9A1hXWM5UWhYAVBCQBaAVFaUMIuICATNQ8ItInwO+//z6uXLkC2peGPj3Jy8uLag8aeatFv3YqvdXiZt1IEc743PxWi5tjo37CGR9nn5TY9N+XqeZYb4LL/cQYy7HmOc7xxq2bFiXaA7CxsTHwBQbttzxhwgTceuut8gmwFjiTfy/rCpPg5DIhYDMBSQDaDFiaFwJOISATNY9SwUNAyBolAX0+H2j/v2hKZ88AVv/4DP8WRgAAIABJREFUPQxasAlggteDg9/+C2SkJIzuUm8HEp+dB49/MBq3A9f6vQno/981QHLkNyAlNn2IVdONvGbVjrFPSmz6+iTVUq1fsvZJAsDYL90cm4w5C8ccY59k100HJtoHkD4DzsrKCtSWQ0B0QDNZRdYVJsHJZULAZgKSALQZsDQvBJxCQCZqpygV2c+vvVKGncc/iTqI+5bm4YVNK7Xb2f5FoPK/tetp1Vj8ALDx5TFrSWxaEAEVdSOvWbVj7JMSm3afpBoq9kvWPkkQGPulm2OTMWfhmGPsk+y66cMktRgIyLqCAbKYEAImCEgC0AQ0uUQIuJGATNTOVnVf3SU8srU06iBefXwdSubo2A/nzB7g5c9GbQ9fehOYtX7MdiQ2bcwq6kZes2rH2CclNu0+STVU7JesfZIgMPZLN8cmY87CMcfYJ9l104dJajEQkHUFA2QxIQRMEJAEoAlocokQcCMBmaidrSp9WnzXc3tQ09RpOpAFuZl4+8n1+vYj9PuBn5YAzVWm7SFnMfDVfYDHM2YbEtvYiFXVjbxm1Y6xT0ps2sNe1X7J2ic/7Shyrxyru+icB2TMWTjmGPsku27amKQGEwFZVzCBFjNCwCABSQAaBCbVhYBbCchE7XxlTzS0YeOW/ejuM743X1qSD9s3l6CwYLx+EI0VwEv3Av1d+q8J1kxMB768E8gv0nVtLGIb+s+74R24qsu/sEoOiI1LN+LCql1jBfwv3QNPf7ftusUiNtfqRjAbKzD4y7vhG5Qx57T7iYy5CLcbg/NALO4n/pfuhYdh/maPzfjdX66wgYCsK2yAKk0KAQsISALQAojShBBwAwGZqN2gIrC3thmbt5UZSgJS8m/LY8VYP2+ycQh1u4HXHjWUBBxKSIX34d8Ac24zZI8zNjqtuXrni1h87P/AN9Sj309a9D30a6VjCwRjQrdBXwq8D78Kz1xjupE5Tu3OvfsrFOz9BxbduGMzpZs3BT0P/ALpy4x/ss+pW2trK87u/hUKT/yIRTvO2MyOOSfcK+mNypq3tmDu4e+x6OaIMedLwdDGbUhccKf+ueNaTc5+2XxgO7J3fcOduhkmLxdYTUDWFVYTlfaEgDUEJAFoDUdpRQg4noBM1I6XcDgAeuPqqe0Vuj4Hps/0frJxubE3/0aiojcB33hC1+fAnekzULvkKRTesSlw+p7RwhVbdXU1Lly4gIyOOiyqeg7p3ee0XaVP2R74me63Gkc2yBXbsF2Dup1a+E3kF9+D/Px8bRYRanDERyc8lpeXs+pGoXLEFo1unvwirFy5Ut/n/SO044iNkkhlZWXo7Oxk1Y4jtjCcJsbc/FsfNHVSPFdsjY2NqKmpYdXNCWMuc/5nsGDBAmXvlf39/SgtLUXKlWq2OY5dN1P05SKrCMi6wiqS0o4QsJaAJACt5SmtCQHHEpCJ2rHSRXScFtQH6luw7cBHeOdkEwaH/MP1Erwe3LVkCh5dNwPrZmebSgrcYJT2FProA+DQVqDqTcB//TNkvzcBzRPXojH/HrRmFQb2/CsoKMC8efNMQbc7to6OjkAyYrj4/ZjtbcT0pnduiA3eBGDh/cDqrwAzP6O5n6FWwHbHZlS3K7k34VzOncO6UdJ27dq1SEhI0AqFvV8SuyNHjoCSgIHi9yO7oxKF3fvhrd4Z1iet1u1Tc4xjbozxRrF1z7gdNePWD+tG/lEyIi8vTzndyCFKtlPSPXTMLUm/gskf/T7uxtylSevQkHf3sHbjxo3DihUrTN2n7e6TlEQ6ePAg6M/gmMvrrcP89j3wjJgH3D7m2gtuRX32hrAxV1xcjMzMTCXHHCVtKXkb1C2r9QSWdO9D4ul33HWvNEVfLrKCgKwrrKAobQgB6wlIAtB6ptKiEHAkAZmoHSmbLqc7evrR1N6Dzt5BZCT7kDsuBZkpxt++02WMKvW0Ax0XgN5OIDkDyMxDZf3HuHjx4nATHo8Hq1atQnp6uu5mI1W0OjZaMFdUVKCtrW3YnM/nw5o1a5CcnBwxNqSMiyqG0S62OjZNJyPoduXqII4ePRp26dSpUzF37lzN5rQqWB1fU1MTqqrCD6WZM2cOpk2bxqobxW11bGOyjKDbUFIGDh8+jO7u63shJiUlBfqx2eRt0AerYxsYGAgkkeiz+2BJS0sL3B+8Xi+rdlbHpjUGIt0rzze3oa6uLuzSRYsWITc3V7O5sSrYEdvp06dBzw6hpaioCFlZWay6qTDmej3JgX48OHj9x6/x48eDeNB8F02xWjt605buD6ElJycHixcvdrdu0Ygg1xomIOsKw8jkAiHAQkASgCyYxYgQUJ+ATNTqa+RkD3t6egKLo6GhoeEwJkyYgGXLlkW9OLKSCyUpKysrw5qcNWsWZsyYYaUZR7V14sQJXLp0adhnWsyuXr0alKRRpdCim/pXb2/vsEupqakBPwNJpDgsLS0tOHbsWFjk06dPx+zZs5WiQcmu8+fPh/lE94Xs7Gyl/ORyhu6Rhw4dwtWr1w9DoR8fKHlLP0aoUii5TH7SjybBMmnSJBQWFqriIrsfZ8+exZkzZ8LsUlKNkmuqFNKL7gtXrlwZdonukdS/UlJSVHFT/HABAVlXuEBECcGVBCQB6EpZJSghYJyATNTGmckVxgjQwogWSKGFFou0aFShREoi0YKIFkbxmkQiXSgRQcm10IX+xIkTsXTpUhVkC/gQqW+Rf+RnPJfjx4/j8uXLwwgoeUv9mZKjKhQn9K1YcKKEOyXeQwv9CEE/RqhSKIlESeZgoXskJdxV6Vux4ERzCCVF6QevYKE5hLiokryN1LdmzpwJ+keKELCSgKwrrKQpbQkB6whIAtA6ltKSEHA0AZmoHS2fI5xX/S2tSG9vLFmyBJMnmzgd2RGK6Heyvr4e586FH4SiyltaTnm7VD9t62qq/paWE94utU4N/S2p/pYWJZUpuRxaVHy7VD9x62o2Nzfj5MmTYQ2q8ha5U94utU4NaSmWBGRdEUv6YlsIjE5AEoDSO4SAEAgQkIlaOgIHgdH2acuaPAWftPWgq28Q6Uk+TBlv7z6FtKdSqL3sFC9OHi0L+0SZ9rFavny5Up8oc2gUycZY+7SRZlzajdSN+sm5uhrQojtYrNpfMlasrbYbaZ826tcJqRlsulFMI7VL8feg7lR4osSq/SWtZhiL9rq6ugL7tIW+eRvcpy3SOLBrX9eRtnIyk1B94qgt+0vGgrPVNsfaR7bP743pmBvouISmj8Pfwrdif0mrGUp77iAg6wp36ChRuI+AJADdp6lEJARMEZCJ2hQ2ucgggdCTWunfT7UMYff5AZRfHAw7qdgXOKk4N3BSccnsiZYk4cje/vrL2Lb/LHZVhp+M7PUAK3N8uH16IhZmewP26BCCjIwMgxG6t3roSa1B7UpbkrH3TLut2o2lm88DrBihWzQnTLtRPUrelpaWBk5qDer2XqMfhy/02aobsTQy5uiQkmhOmHajdrW1tWhoaAiEFtSurD0d79a22Kqd0TG3cOFCTJkyxY0SmIop9CT5oG4fXPThwPluW3UzOubokBKzJ0ybAiMXxRUBWVfEldwSrIMISALQQWKJq+4m8Bd/8Rd4//33dQUZ+kaArgt0VJKJWgckqWIJgfb2drz+7iFsPd6Lhs7rG8iP1vj83Aw8u7EIhQXjTds/0dCGp7ZXoKapU7ONggwPvrOhAPffvFyzbjxVoPtOeXk5jn/cyqadUd2eWJGOh+68CYmJNp5y7UDRGxsbsetQFZtuhMiodj+8fz42FEV/urQD5RnVZUraUvL29OVeNu2M6vbkumx84fa1lvxI4ybtqqursf/Ux2y6mRlzP9lYhHXz892EXWJRiICsKxQSQ1wRAiEEJAEo3UEIKEJAEoCKCCFu2E5gb20zHn/5EHoGtJN/QWfSknzY8lgx1s8zvh8f2du8rQzdfYO6Y4vGnm4jDqz4dsVH+OZvT6JXP0qYZWlGt9REL37+xVWm+okD5dDt8p6ai3j85cPoHZQxpxuaIhXf2FeFb++olzGniB563Xi38gKeeKWcRTfyycz90uy9WS8DqRffBCQBGN/6S/TqEpAEoLraiGdxRiCYAKTPDl966aUxo6eTU60uMlFbTVTai0SA3i7ZuGW/oWRcaBJw++YSQ28Ccttzs+qcLDltuVkzio2bJbc9N+vHyZLTlps1kzHndnUlPr0EZF2hl5TUEwK8BCQByMtbrAmBUQkEE4C33nor3nvvPXZSMlGzI487g/QJ6V3P7dH1Ge5ocBbkZuLtJ9fr+tyM256bBeVkyWnLzZpRbNwsue25WT9Olpy23KyZjDm3qyvxGSEg6wojtKSuEOAjIAlAPtZiSQiMSUASgNJB3E5gX90lPLK1NOowX318HUrmTNRsh9uepkMOrsDJktOWgyXR5To3S257uiA4tBInS05bDpVDt9vcLLnt6QYhFeOegCQA474LCABFCUgCUFFhxK34IyAJwPjTPN4i/torZdh5/JOow75vaR5e2LRSsx1ue5oOObgCJ0tOWw6WRJfr3Cy57emC4NBKnCw5bTlUDt1uc7PktqcbhFSMewKSAIz7LiAAFCUgCUBFhRG34o+AJADjT/N4irijpx9FP/gjBof0H0IwGh+f14OKp+9AZsroJ71y23OzlpwsOW25WTOKjZsltz0368fJktOWmzWTMed2dSU+owQkAWiUmNQXAjwEJAHIw1msCAFNAsEEYG5uLqZNm4ZTp06hv78fkyZNQnFxMf7qr/4KDz/8MBITR096aBoZo4JM1NHQk2u1CNQ2deCOf9ujVU333//pqVswNydz1Prc9nQ77sCKnCw5bTlQCkMuc7PktmcIhsMqc7LktOUwGQy7y82S255hIHJBXBOQdUVcyy/BK0xAEoAKiyOuxReBYAJwrKgXL16M3/3ud1i0aJFhODQRj1UuXLiANWvWBKqcP38eU6dONWxDLhACoxGoON+KB1740DJAv//6zSialjVqe9z2LAtMwYY4WXLaUhC1pS5xs+S2ZyksxRrjZMlpSzHMlrvDzZLbnuXApEFXE5AEoKvlleAcTEASgA4WT1x3F4HbbrsNXq8X9957L5YvX46JEyeio6MD5eXl2LJlC6qqqgIB0xuCBw8exPTp0w0B8Hg8uutLAlA3KqmokwD3mwrc9nRicGQ1TpacthwphgGnuVly2zOAwnFVOVly2nKcEAYd5mbJbc8gDqke5wQkARjnHUDCV5aAJACVlUYcizcCra2tyMqK/EYTfQr8+OOP4+WXXw5g+dznPofXX3/dECJJABrCJZUtJmDlPlMJXg+OMO4BqMeexbiUao5TO05bSkG2wRlultz2bECmTJOcLDltKQPYJke4WXLbswmbNOtSApIAdKmwEpbjCUgC0PESSgCcBAYGBizZg++ll17C3/zN3xhynWwvXbo0sDcgFZpYCwoKdLchnwDrRiUVbSLAfVohtz2bsCnRLCdLTltKwLXRCW6W3PZsRBfzpjlZctqKOVibHeBmyW3PZnzSvIsISALQRWJKKK4iIAlAV8kpwdhNIJYJQIrtX//1X/H3f//3gTBfeeUVPPLII5aFLBO1ZSiloVEI7Ku7hEe2lkbN59XH16FkzkTNdrjtaTrk4AqcLDltOVgSXa5zs+S2pwuCQytxsuS05VA5dLvNzZLbnm4QUjHuCci6Iu67gABQlIAkABUVRtxSl0DwDbxoPMzLy8P48eMNN7Fz507cd999gev+5V/+ZTgZaLihCBfIRG0FRWljLAJ+vx93PbcHNU2dpkEtyM3E20+uh55P2rntmQ7KARdysuS05QD0UbnIzZLbXlRwFL+YkyWnLcWxR+0eN0tue1EDkgbihoCsK+JGagnUYQQkAegwwcTd+CawY8cO3H///ZIAjO9u4OjoTzS0YeOW/ejuGzQcR1qSD9s3l6CwQH/ynOw9+OI+XO0fYrFn2IiDLuDUjtOWgyQw5So3y8CY+9k+XB2QMWdKsJCLOLXjtBUtF9Wv52ZJ9r7wsw/RM+A3jMbMvGrYiFwQlwQkARiXskvQDiAgCUAHiCQuCoEggWeeeQbf+ta3Av/561//Gps2bbIMjkzUlqGUhjQI7K1txuZtZYaSgMk+4PkHl+DuopmG+NLbEb/csQ/P7G9Fr4GcIy2KtjxWjPXzJhuy5/bKZrRLSfBg65dWG2b5xr4qfHtHvehmQacyoxuNuRc3rcSGxXmGPOjr68Mv3vwQz5d1i3aGyEWubEa71EQvfv7FVYbH3Ct/LsMPdn8iusVIt2Qf3Sv/f/bOBDiu6sz3/+7WvlmWbcmS932TbXm3CSYBinVgQjKJhz3hDRRkmLzwmJkXZq9KzbzMm5lkyGRCcJyEUISQ51QSZgIECDHBENuyLVleZUmWjG0kI8uWrdVau199Dd3qtlu6S997dO/t/6mimIzOOd/3/f7n3MP5+txz1+K6hcWGPJCPyP34rSp8+0AftTNEjpXtJMB9hZ102TcJmCfABKB5dmxJAkoJXPkRkNOnT2PGjBmW+cCF2jKU7EgHATmx8OT2Gl2vA0/P8+Hh5ZlYPr0Qq1ev1vX6b8SF5uZmNDQ04P2OYWw73I/mbu0TEvKa8Te2rDR00lBHyJ6pYka7z16/DgUFBboZyJfPKysrceJCP3XTTW3simZ027R4OhYtWmTIg7q6Opw9e5ZzzhA1a7V7dFUu7r75GkMfLevs7ER1dTV1G0fdZJ27ed0SlJWV6fZCfuSqqqpCd3c3tdNNjRVVEOC+QgVl2iAB4wSYADTOjC1IwHICb7/9NlatWoXCwsKEfctm+JFHHsHzzz8f/vudd96J//7v/7bUDy7UluJkZzoIyMZlT1M7XtjzPt442orh4EhyLs3vw+a5BVg/sR+Li/zRpJ8kI+QOTT1F5s3evXsh/5Yi9k5dzkBlexbePHa1vVuWTcX9G2dh49wiQ0lGPb54rY6WdqtLArh+elpUO0n+yTNOz92Nwqq+vh4tLS1R3Y63B1HdlYsd9e1XjRPqpn90aem2aUYOrikejptza9asQX5+vi4jXV1d4WREpIi9cyjEOy3BhHOc2unCGp0HYz0vVxX7ccOM9Kh2kkRauHChLgOi04EDByBJwMizsqEDqO7Kw29q2zjndFFMXElrzq0rzcB1Zb6obunp6diwYQPS0tJ0WZVkuyTdY+dcV3YpXm/s4ZzTRZCV7CLAfYVdZNkvCSRHgAnA5PixNQlYQuCLX/wifv7zn+MP//AP8alPfSp84kI2zPKLrmymtm7ditra2rCt4uJi7NmzB3PmzLHEdqQTLtSW4mRnBgl09Q2itbMP3f3DyMsMoKQgC7kZAezfvx+9vb3R3jIyMrB+/Xpdm6MTJ05AxnVsqaioCCfaE9nLz0o36DWrC4FELC+1fYjGxsY4QEuWLEFJSYkmNHnuie6xRZ57S5cupW6a9PRXSKRbhi8YTpoPD4+8Ly8frJJ5o5W8lURHTU0NOjo6ok4EAoHwfM3MzKR2+qXRrJlIuzNNDTh37lxc23Xr1iE3N1ezv9bW1uh/Y0Qqz5s3L/yWAZ+Vmvh0V0jEcuhyNw4ePBjXx/Tp0zF//nzNfuXNEJmv8tp9pOTk5GDt2rXw+/3UTpMgK9hJgPsKO+mybxIwT4AJQPPs2JIELCMgCcDI6b6xOl2+fDl++tOfhjfCVhcu1FYTZX9WEGhvb8ehQ4fiupo5cybmzp07ZveSNNy3b1/41F+kTJ48GeXl5Va4xT40CASDwTD/y5cvR2tKEkiSQZIUGq2IXqL3xYsXo1VkIyvtsrKyyF0BgVOnTuHkyZNxlpYtW4YpU8a+D1OST8eOHYtrJz9UzZo1S4HXNNHX1xdOBsnci5SJEydixYoVYyZvJdkr7fr7+6PtsrOzIclDmXss9hM4cuQIzp8/HzUkyXbhL8m8sUpTUxPkOpjYInoXFRXZ7zQtkIAGAe4rOERIwJkEmAB0pi70KsUIyOm+N954A7t37w5voNra2iCJD9kwy4kZ+TX3c5/7HD7zmc+MuXlOBhsX6mTosa2dBA4fPowLFy7EbY4kISSb1NGKJJFkDkWKbKi02tgZQyr2LRta2djGFkkGjXV6OVGb2bNnQ/5hUUNAEkiSEJKEUqRI8lUSEqMlbxMlkaSNzDkmkdToJlYkcSsJ3NgiP3rIjx+jFTNt1EWUGpbkhxKZc7E/WEkST5J5o5VEbSZNmgT5oZiFBJxAgPsKJ6hAH0jgagJMAHJUkAAJhAlwoeZAcCoBo6f5JFkoScPYoufUoFPjd6tfRk/zmT016FY+TvZbfoQ6evRonItjneYze2rQyQzc6JvR03xmTw26kY3TfTZ6ms/sqUGnc6B/3iHAfYV3tGQk3iLABKC39GQ0JGCaABdq0+jYUAGBRPf5rVy5EhOzA0BnCzDQA2TkIpg/FfsP15u+N1BBKClloqenJ3yfX+zJlsh9fujrjNPuTGcQjR/E32Gm997AlIKqINgx7/ML9cfp1p81GZU1x+JePZV7NmV+at0bqCCUlDOR6D4/uTJhZnFhnG4oKMPRxjPhNw4iRfSSNw703BuYcmBtDnjM+/wGuuO0uxjMwcHjTXEe6b030OYw2D0JRAlwX8HBQALOJMAEoDN1oVckoJwAF2rlyGnQAAHZHFVWVn70Rd9QCIWXDmNm65uY2LoLvtDIBwtCvgDaJm9AS9ltuFS4HPD5sHjxYkydOtWANVa1kkBDQwOam5s/6vJj7Zb17EJ645tAnHZ+tE3eGNWuYMIEQ18OttJn9oXwR6iiH2P5WLe5F3agoHnnFbpdPeckiZSXl0eM40Ag7ou+H+s2veXXmHS+UvNZOW3aNCxYsGAcvKZJIRD3Rd+PtVvYsRM5p3aM+axMz8gw9OVg0iYBFQS4r1BBmTZIwDgBJgCNM2MLEvAkAS7UnpTVU0G1tLSgperXWFL7NHJ74y8+TxRoT85MnFrz11hyw908iTSOI0GStpK8zbpYZ0i70GeeRd6CT4yj5zRdV1eHrvr3DOnWtvkfMXvTpwlvHAl0dnai/p2fGdKtvvzPUX7TfUhP59fQx0s6Sd5WV1cj1FJjSLveW7+JKStuGi+3aZcEEhLgvoIDgwScSYAJQGfqQq9IQDkBLtTKkdOgQQKhEzsQfOkeBIZHPk6g1UUoPQe+u18E5t2gVZV/t5FA257tKHrzywgE9WuH9Fzg7h9TOxt10ep6sO5N+Lc/wDmnBcppf2+UZ+W98A+NfIVby8VgWjb89/yE800LlM1/7zn0K2S9/LChZ2UoPRc+PittVobdGyXAfYVRYqxPAmoIMAGohjOtkIDjCXChdrxEqe1gSw3w3O3AYI9xDpJIeug1oKzCeFu2SJ5ASw1Cz90OH7VLnqXKHjjnVNK2zhZ1s46l6p6onWritGcjAe4rbITLrkkgCQJMACYBj01JwEsEuFB7SU2PxRIKAc9sAtpqzQdWvBT40q7wnYAsCglQO4WwLTRF3SyEqbAr6qYQtsWmqJ3FQNndeBPgvmK8FaB9EkhMgAlAjgwSIIEwAS7UHAiOJXByJ/D8ncm794VXgDmbk++HPegnQO30s3JSTermJDX0+0Ld9LNyWk1q5zRF6E+SBLivSBIgm5OATQSYALQJLLslAbcR4ELtNsVSyN/tDwLH/iv5gJfeBWx5Pvl+2IN+AtROPysn1aRuTlJDvy/UTT8rp9Wkdk5ThP4kSYD7iiQBsjkJ2ESACUCbwLJbEnAbAS7UblMsRfzt6wT+72wgNJx8wL4A8NX3gayC5PtiD9oEqJ02IyfWoG5OVEXbJ+qmzcipNaidU5WhX0kQ4L4iCXhsSgI2EmAC0Ea47JoE3ESAC7Wb1EohX88dB57ZYF3Aj+8Fpiyyrj/2NDoBaufO0UHdqJsQ4LNS3TjgnFPHmpaUEeC+QhlqGiIBQwSYADSEi5VJwLsEuFB7V1tXR/ZBFfD9G6wL4eEdwPQ11vXHnkYnQO3cOTqoG3UTAnxWqhsHnHPqWNOSMgLcVyhDTUMkYIgAE4CGcLEyCXiXABdq72rr6sh4MsK98lE7d2pH3aibEOAJQHXjgHNOHWtaUkaA+wplqGmIBAwRYALQEC5WJgHvEuBC7V1tXR2ZlXcj+dOA/32SdwCqGhDUThVpa+1QN2t5quqNuqkibb0damc9U/Y47gS4rxh3CegACSQkwAQgBwYJkECYABdqDgTHEuDXER0rjaZj1E4TkSMrUDdHyqLpFHXTROTYCtTOsdLQMXMEuK8wx42tSMBuAkwA2k2Y/ZOASwhwoXaJUKno5smdwPN3Jh/5F14B5mxOvh/2oJ8AtdPPykk1qZuT1NDvC3XTz8ppNamd0xShP0kS4L4iSYBsTgI2EWAC0Caw7JYE3EaAC7XbFEshf0Mh4JlNQFut+aCLlwJf2gX4fOb7YEvjBKidcWZOaEHdnKCCcR+om3FmTmlB7ZyiBP2wiAD3FRaBZDckYDEBJgAtBsruSMCtBLhQu1W5FPG7pQah526Db7DXeMDpucBDrwFlFcbbskXyBFpqMPyDWxEYvmy8L2pnnJlVLTjnrCKptp+wbrfDN9hj3C7nm3FmVrZoqUHwh7fCP8RnpZVY2df4EOC+Yny40yoJaBFgAlCLEP9OAilCgAt1igjt4jBPv/0jTHv3qwgE+3RHMRzIQnDLC0hfdLPuNqxoLYFLly7h1I4fofzI1w1pF0zLhv+enwDzbrDWIfami0AoFEL9r7di/v5/MKSbzDn/PS/BN5+66QJtQ6W2PdtR9OaXjenmz0LfXd9H7goLrluwIaZU6HJgYAB1rz2LpYf+yZB2fFamwuhwX4zcV7hPM3qcGgSYAEwNnRklCWgS4EKtiYgVxpFAZ2cnqqurkdfViCW1TyO397SmN925s3B88VeQv/BaLFq0SLM+K1hPQJJIVVVV6O7uNqxdw7InUX7TfUhPT7feMfaoSaClpQX19fWGdZM5V7bmNpSVlWnGRSTTAAAgAElEQVTaYAXrCQwODqKyshJZF+sMPyt9ZRVYvXo1fLwqwXphdPRYV1eHs2fPmppzCz/5eRQUFOiwwiokoIYA9xVqONMKCRglwASgUWKsTwIeJcCF2qPCeiAsSSIdOHAAkgQMl1AIRV3HUN67G/6614DQ8EiU/jR0Tvskmoqux6XC8uidf2vWrEF+fr4HaLgrBNnMyqY2WkIhLMu9iCnvvwzUvhKnXcifhrZJG9BSdltUu2nTpmHBggXuCtoD3koSae/evZB/R+ZcaX8jFnbuhC+BbhdLrsHp4pujuknSdsOGDUhLS/MADXeFIElbSd5GdCu8dATLench/cQbVz0re2fdiPqCzXHPSvmxpLS01F1Be8Dbrq6u8I8lsc/Kuf4WzGx9I+Gz8vzkjWguvTWqnST/Vq1axeStB8aCV0LgvsIrSjIOrxFgAtBrijIeEjBJgAu1SXBsZjuB1tZW1NbGfwBk3rx5mDFjBtDXCXSdBfq7gcw8IL8U/b7McPJieHgkMThhwgRUVFRwc2S7WiMGhoaGwjrIa22RkpOTg7Vr18Lv9yfU7ljTBzh37ly0vpxEkvq5ubkKPaepEydOQNaE2CLzp7CwMKFuFy8P4+DBg3H1p0+fjvnz5xOmQgJy0nb//v1xFouLi7F06dKEugUz8sL1e3tH7lbNyMjA+vXrmbxVqJv8yFVTU4OOjo6o1UAgENYhMzMzoXZn2jrQ2NgY5+WSJUtQUlKi0HOaIoHRCXBfwdFBAs4kwASgM3WhVySgnAAXauXIaVAHAUniSRKpv78/Wjs7Oxvr1q37KIk0Sjl16hROnjwZ91fZBMtmmEUNAdmcnjlzJs7YihUrUFRUNKoDfX19Yb2DwWC0zsSJEyHt+FqiGt0kGbRv3z5IUiJSJk+ejPLy8jEdOHLkCM6fPx+tI3rJPJWkL4v9BESvQ4cO4eLFi1Fj8oyUJFJWVtaoDrS3t4fbxZaZM2di7ty59jtNC2EC8qPHsWPH4mjMmTMHs2bNGpWQPCNlnl6+PPLBEEkWit6SPGQhgfEmwH3FeCtA+ySQmAATgBwZJEACYQJcqDkQnEhAkniSzIsty5cvx6RJk8Z0VxKHsjmShFKkyCZYEhLcHNmvtGxKJZEXm0QSzUQ7rZJIc0k+SRKKxX4CkgySpFCkSBJJ5o0k3scqyWhuf1TetyDJV0nCxpbZs2dD/tEqhw8fxoULF6LVJHkriSQtzbX65d+1CST6kUvWKuE/1o9c0nMizSVpKMlDFhIYbwLcV4y3ArRPAokJMAHIkUECJBAmwIWaA8FpBJI9DdbW1oajR4/GhaV1qsJpDNzqTzKnwcye+nQrKyf5LUkgSQbFFiOnwZqamnD6dPwHerROfTopfrf6kuxpMLOnPt3Ky0l+JzqtvmzZMkyZMkXTTbOnPjU7ZgUSsIAA9xUWQGQXJGADASYAbYDKLknAjQS4ULtRNe/43NU3iA87+tAzMIzcjACmTsjC6cZ6SBIvUozeBzfWvUoDIf9V9vKz+LVZMyPqSu2yQn1oPB6feDV6H9xo9z4WTplK3cyIlKDNlboV52eg7sjBpO6DG+veR5nbV85xzjlzYl6p3VDXebR+EH9S2uh9cInufVy5ciXSsvOomzmZrmp1pW5FWX4cPVgVd+WB3LMp3PVeedDT0xO+xzH2tHXk3sdE6yrnnEVishtNAtxXaCJiBRIYFwJMAI4LdholAecR4ELtPE287pFsWHY3XcALu0/hzWOtGA6O3DkW8AGrigO4cWY6Fhf5w5shM1+Ejf2yotg73h7Ee+cC2HOmN96e34dblpXg/o2zsGnuJN2bL69rNFp8Y2nn9wGrY7STjwoY/SJs7JefI7rtODOE6nPD1C2JQWd0zi1evBhTp041ZDH2y88R7SrbM/HuyU5qZ4hkfGUjc04+emT0i7CSvK2srAx/+Tmi2+9aQth/doC6KdIt8iNXXl6eIYsNDQ1obm4Ot4loV9WZi7cb2qmdIZKsbCUB7iuspMm+SMA6AkwAWseSPZGAqwlwoXa1fK5z/khzB57cXoP61m5N36fl+fDYqlzcffM1SE83fkqvrq4Ou49/gG2H+9HcPZJkHM3wwpI8fHNLBcqnTdD0LRUrGNXuH+9YiOsrjH8NtrOzE794ex91s2iQGdXtiY1F+NyNGwwnwyUBUV1djcMfXKJ246TdN7ZUYOPCMsPWW1pa8Oa+WupmmFziBkbn3F9dPw13fGKlYeuStJXk7YkL/dTOMD02sIsA9xV2kWW/JJAcASYAk+PH1iTgGQJcqD0jpeMDebehDY++UIXegWHdvman+/G9B9di8wLte5Gu7PTtY2fx2IvV6NdvDjkZAWx9YI0pe7qDcmFFM9qZZSm2Hnl+H/qGtJO2EZRmbblQCkMum9EtmTn3es37+MrPjnLOGVIpcWUz2pmdBzvrz+GR5/ejf5hzLlnpVOomvv5yVy2eerWJcy5Z4djeMgLcV1iGkh2RgKUEmAC0FCc7IwH3EuBC7V7t3OS5nIjYsnW3oeRfbHJn+6ObDJ3MU23PTVoY9VUlS5W2jHJwW33VLFXbc5seRvxVyVKlLSMM3FhXNUvV9tyoCX1WT4D7CvXMaZEE9BBgAlAPJdYhgRQgwIU6BUQe5xDl1cBbnt6p67Xf0VxdVJKP15/YrOu1RNX2xhmvreZVslRpy1ZoDuhcNUvV9hyA2DYXVLJUacs2YA7pWDVL1fYcgpluuIAA9xUuEIkupiQBJgBTUnYGTQJXE+BCzVFhN4Fdjedx77bKpM289MhGbJo3SbMf1fY0HXJxBZUsVdpysSS6XFfNUrU9XRBcWkklS5W2XCqHbrdVs1RtTzcIVkx5AtxXpPwQIACHEmAC0KHC0C0SUE2AC7Vq4qln709frMJrhz9MOvA/WF6K79y3WrMf1fY0HXJxBZUsVdpysSS6XFfNUrU9XRBcWkklS5W2XCqHbrdVs1RtTzcIVkx5AtxXpPwQIACHEmAC0KHC0C0SUE2AC7Vq4qllr6tvEBVf+w2Gg/ovlx+NUMDvQ83f34T8rNG/CKzanpfVVMlSpS0vayaxqWap2p6X9VPJUqUtL2vGOed1dRmfUQLcVxglxvokoIYAE4BqONMKCTieABdqx0vkagcbWrtw07/vtCyGt568DvOL80ftT7U9ywJzYEcqWaq05UDUlrqkmqVqe5bCclhnKlmqtOUwzJa7o5qlanuWA2OHnibAfYWn5WVwLibABKCLxaPrJGAlAS7UVtJkX1cSqDlzCXd95/eWgXn58U+gYkbhqP2ptmdZYA7sSCVLlbYciNpSl1SzVG3PUlgO60wlS5W2HIbZcndUs1Rtz3Jg7NDTBLiv8LS8DM7FBJgAdLF4dJ0ErCTAhdpKmuzrSgKqTyqotudlxVWyVGnLy5pJbKpZqrbnZf1UslRpy8uacc55XV3GZ5QA9xVGibE+CaghwASgGs60QgKOJ8CF2vESudpBK++ZSvP7cEDhHYB67LlaHA3nVWqn0paXNZPYVLNUbc/L+qlkqdKWlzXjnPO6uozPKAHuK4wSY30SUEOACUA1nGmFBBxPgAu14yVyvYOqv1ao2p7rBRojAJUsVdrysmYSm2qWqu15WT+VLFXa8rJmnHNeV5fxGSHAfYURWqxLAuoIMAGojjUtkYCjCXChdrQ8nnBuV+N53LutMulYXnpkIzbNm6TZj2p7mg65uIJKliptuVgSXa6rZqnani4ILq2kkqVKWy6VQ7fbqlmqtqcbBCumPAHuK1J+CBCAQwkwAehQYegWCagmwIVaNfHUsxcKhXDL0ztR39ptOvhFJfl4/YnN8Pl8mn2otqfpkIsrqGSp0paLJdHlumqWqu3pguDSSipZqrTlUjl0u62apWp7ukGwYsoT4L4i5YcAATiUABOADhWGbpGAagJcqFUTT017R5o7sGXrbvQODBsGkJMRwPZHN6F82gTdbVXb0+2YCysKy89/dxcuDwUNe29UO+pmGPGoDVSzVG3POlLO60lYfu67v0ffUMiwc5xzhpFZ1iD8rHx2Fy4P2v+sFKc55yyTjh1ZSID7CgthsisSsJAAE4AWwmRXJOBmAlyo3ayeu3z/5a5aPPVqE/oN5ABlM7v1gTXYvGCK4WDfbWjDoy9UGUo6ZgZ82PaFtbhuYbFhe15tMDAwgO+/8nt8q6pXiXbmdAO+9flluLVitldlMBXXi7+twtd2fKhEN3HQjHZZaTLn1pma46aguKDRpUuX8OO3qvDtA31KtDOjW2YAePa+1bh+aakLiKpxUU7l/eDVXfjX3ZeU6GZ2zmWn+/G9B9dyzqkZFilnhfuKlJOcAbuEABOALhGKbpKA3QS4UNtNmP0LgcHBQVRWVuLEhX5sO9yP5m7tky3y2u83tqw0dPLvStpyQuLJ7TW6Xj+enufDw8szcfO6JSgrK6NwHxOoq6vD2bNn8X7HsDLtzOi2fHohVq9eres18VQQt7OzE9XV1Up1E65mtPvs9etQUFCQCrJoxihJpKqqKnR3dyvVzoxumxZPx6JFizRjSpUKzc3NaGhoUKqbmTn36Kpc3H3zNUhPT08VaRinQgLcVyiETVMkYIAAE4AGYLEqCXiZABdqL6vrnNjq6+vR0tISdkg2uMfbg6juysWO+nYMB0eSgWl+H25ZNhX3b5yFjXOLLEnmiL09Te14Yc/7eONo61X21pVm4LoyHxYX+cP2ZFO0YcMGpKWlOQfgOHnS1dUVTkZEirA8h0K80xJMyNJK7bR02zy3AOsn9kd1Ex8lGVFayhNJwu7AgQOQJGBkzjV0ANVdefhNbdu4z7nVJQFcPz0tqp0k/1atWmXJfB+nqWKZWUm2S9I9ds51ZZfi9caecZ9zm2bk4Jri4bg5t2bNGuTn51sWv1s7kh+59u7dG/6xKzLnTl3OQGV7Ft48dvW6Y+WzMmJvrHVuVbEfN8xIj2onP3ItXLjQrbjpt4MJcF/hYHHoWkoTYAIwpeVn8CQwQoALNUeD3QTkJMv+/fvjzBQXF2Pp0qXo6htEa2cfuvuHkZcZQElBFvKz7DuVkMje0OVuHDx4MM6/6dOnY/78+XajcXT/kkSqqalBR0dH1M9AIID169cjMzNTqXaJdMvNCITHVW9vb9S/jIyMsH+pnrxtbW1FbW1t3PiaN28eZsyYoVQ3cSCRdpfaPkRjY2Ocf0uWLEFJSYmj54Tdzg0NDYWTSPLafaTk5ORg7dq18Pv9SrVLpFuGLxj2b3h45B6HCRMmoKKiIuWTtydOnID891RsES6FhYVKdRttzp1pasC5c+fi/Fu3bh1yc3PtHtbsP8UIcF+RYoIzXNcQYALQNVLRURKwlwAXanv5pnrvkkQ6dOgQLl68GEUhG1lJ0mRlZTkGz5EjR3D+/PmoP3ISUDZHsvlO1SKbxWPHjsWFP2fOHMyaNcsxSNrb28PjK7bMnDkTc+fOdYyPqh2R5Iwkafr7+6Oms7Ozw+NZ5p4TSjAYxL59+3D58uWoO5JUlueCJJlTtTQ1NeH06dNx4a9YsQJFRUWOQXLq1CmcPHkyzp9ly5ZhyhTj97Q6JqgkHZEfIWQ8y3oXKZMnT0Z5eXmSPVvXvK+vL/xckLkXKRMnToSML1nvWEjAKgLcV1hFkv2QgLUEmAC0lid7IwHXEuBC7VrpXOG4JNUkuRZbZs+eDfnHSUUSEbI5it3AyaZbNkepWBIlkSRhKwkapySRIrocPnwYFy5ciMokm1nxU5JeqVgkOSNJmtgiiQhJSDipJHo2SHJZksypWBI9gyZNmoTly5c7CockkORZKQmlSJFngySYUzV5Kz9CyI8RkeLUZ5Bbng2OGvB0xjAB7isMI2MDElBCgAlAJZhphAScT4ALtfM1cquHbjvl44bTN6rGgptO+bjh9I0q3dx0ysctp4NVaeemU8htbW04evRoHBqnnQ5WpZv8+CA/QsQWp55CdsPpYFW60Y59BLivsI8teyaBZAgwAZgMPbYlAQ8R4ELtITEdFoq8yiZJtdhi1T1fcj/Vhx196BkYhtwFN3VC8ncHjnn/1kA30NkCDPQAGblAQRmQZc9XS+2Ibcyh0dcZF1t/1mRU1hyLe1VM7rFauXKlJa+K2RFfovu3xN+J2QFlugljO2IbVbsrdJMxebTxDCQ5EylyEknuj7Pini87Yuvp6Qnf4xh78jZyPygSxOfVOXcxmIODx+OflVbdQ2qHbmPeDxrqT5k5F8yfiv2H6227h9QO7RLdDypXJkjSkoUErCDAfYUVFNkHCVhPgAlA65myRxJwJQEu1K6UzfFOyyX2lZWVcZfFJ/ulT9l07m66gBd2n7rqq4qB8NeDS8JfD940d5LpRFXcFzhDIRReOoyFHTuRc2oHEBq5+B6+ALDkDmDdw8DszUCSdyipiC1u0MhdVe+/C+zdBhx/NS62kC+Atskb0FJ2Gy4VLg/HJkmkvLw80+PO7vgkeSvjLfwFzo91m9n6Jia27oLPRt0EiN2xJaPbtGnTsGDBAsfqJo41NDSgubn5Ix8/1m5Zzy6kN76ZQnPOj7bJG6NzLj0jI6kvkasYk3Efd/pYt7kXdqCgeaetujl9zi1evBhTp0517Jy78gvh4qi8ui1fvpePKLGQQLIEuK9IliDbk4A9BJgAtIcreyUB1xHgQu06yVzhcF1dHSSZFltWr14NSQKaKUeaO/Dk9hrUt3ZrNl9YkodvbqlA+bQJmnWvrCCbo+rqaoRaarCk9mnk9sZfyJ+wwylLgM88C5RVGLYnDVTFFnWupQb45WNAW/xXYhM535MzE22b/xGzN33aVGwq42tpaUFL1a+V6aYytjB8g7rVl/85ym+6D+np5r6qrWpcStJWkrdZF+uUaacqNrNzrvfWb2LKiptMzTmVsclzvqv+PWW6OX3OnVrz11hyw92mf4BSpV1nZ2d4nYstpaWlWLRokakxx0YkEEuA+wqOBxJwJgEmAJ2pC70iAeUEuFArR+55g11dXaiqqoqLU05EyMkIM+XdhjY8+kIVegdiTuBpdJSTEcDWB9Zg8wLjX6bsOfQrZL38MALBkUvuNf1OzwXu/jEw7wbNqrEVVMeGxh3AT+8HBnt0+xlKz4Hv7hcNxyYGVMYXOrEDwZfuQWDYft1Ux2ZGt2BaNvz3/MTxugnLtj3bUfTmlznnPp6VofRc+FzwPBmsexP+7Q9wzkV1c8ezUtytra2FvA4cW9asWYP8/HzdawMrkkAiAtxXcFyQgDMJMAHoTF3oFQkoJ8CFWjlyTxsc826ozEzDscuJiC1bdxtK/kWMSBJw+6ObjJ0ElFNWz91uKEEWDUqSgA+9pvskoJdjEyZK41OoG2MbfRqbnXOh526Hz0BSmnPuag2UzjcxzzmXeCIYXAeUP08+9rq/vz/8NWf5MEikTJgwARUVFaZPMBpe4NnAkwS4r/CkrAzKAwSYAPSAiAyBBKwgwIXaCorsI0Lg3LlzOHbsWBwQs1+HlGTiLU/v1PXa72gKLCrJx+tPbNa3oZF78Z7ZpOvV2FEVL14KfGmX5p2AXo5N2CiNT6FujE37Wcc59zEjheNS6Xz7aBIoe1Zyzlk852K6S/S196VLl0I+xMNCAmYJcF9hlhzbkYC9BJgAtJcveycB1xDgQu0aqRzvqJwkkBMFcrIgUrKysrB+/Xr4/X7D/u9qPI97t1Uabndlg5ce2YhN8yZp93NyJ/D8ndr1tGp84RVgzuYxa3k5NglcaXwKdWNsWoP/o79zzgFQOC6VzjcRWGFsnHMWz7mY7mTN3rdvH/r6Rq5NkDV73bp14Q+DsJCAGQLcV5ihxjYkYD8BJgDtZ0wLJOAKAlyoXSGT452UEyiNjY2QEwWxZcmSJZg8ebIp///n/zuI14+eM9U2ttFty0rwrT9eodlP2i/+B/zHf6VZT6vC8OI/xPBnfzBmNS/HJoGrjE+lboxNa/R/9HfOOUDluFQ530RflbFxzlk7567s7fz58+H7AGPLrFmzMG/ePH0n5/W5x1opRID7ihQSm6G6igATgK6Si86SgH0EuFDbxzaVepYPf/ziF78Iv/oZKXKSoKSkxNQm4vJQCI//thfBke5M4/T7gO/cmIPsNN+ofQSGenHte/fBh6BpO5GGIfjx3rUvYjgtJ2FfXo5NAlYZn0rdGJv+qcE5x+eJntGi9azknNND8aM6euZcot5kzf7www/jTu77fD589rOf5QdB9ONnzRgC3FdwOJCAMwkwAehMXegVCSgnwIVaOXJPGjx8+PBVX/4tKytDRkaGqXibu4P4m/cum2qbqNH/uTYbZXmjv4ac03Ma6/d92TJ7e9f9J3pzZyTsz8uxScAq41OpG2MzNj045/g80TNixnpWcs7pIThSR2vOjdabXNtx9uzZuD/LF4GXL19uzAHWJgEA3FdwGJCAMwkwAehMXegVCSgnwIVaOXLPGRwcHMTu3bvR1NQUjS0vL8/0q7/SSdOlYXxtz8i9RMlC+/uNWZhbOPqdRvmd9VhT/ZfJmom2r1r9r+gqWJiwPy/Hplo7lboxNmPTg3OOzxM9I2asZyXnnB6CI3W05txYvcmrwN3d3dEqc+fOxaZNm5Cenm7MCdZOeQLcV6T8ECAAhxJgAtChwtAtElBNgAu1auLetNfT04PXX38d8iqwfPBj2rRpSV0irvIUmSii8iSZl2MTlirjU6kbYzP27NI6jaRSO5Vjks8TY+OEJwDVnXQfSxn5IIj896C8Epyfn49bb70Vubm5xsRkbRLgCUCOARJwLAEmAB0rDR0jAbUEmABUy9ur1mTTICcBe3t7w/+Y/fBHhE933xDW/fPvMGzBJYBpfh/2PvUp5GWljY6/vwvp31wAX2g4aYlC/jQM/q96IDM/YV9ejk0CVhqfQt0Ym/6pwTnH54me0aL1rOSc00Pxozq65pxGd3IKMDs7O5z4k5N/chcgCwkYJcB9hVFirE8CaggwAaiGM62QgOMJcKF2vEQp6+CfvliF1w5/mHT8f7C8FN+5b7V2P9sfBI79l3Y9rRpL7wK2PD9mLS/HJoErjU+hboxNa/B/9HfOOQAKx6XS+SYCK4yNc87iOaevO9YiAdMEuK8wjY4NScBWAkwA2oqXnZOAewhwoXaPVqnm6a7G87h3W2XSYb/0yEZsmjdJu5+TO4Hn79Sup1XjC68AczaPWcvLsUngSuNTqBtj0xr8H/2dcw6AwnGpdL6JwApj45yzeM7p6461SMA0Ae4rTKNjQxKwlQATgLbiZeck4B4CXKjdo1WqeSqvFd/y9E7Ut45cTG6UwaKSfLz+xGZ9rzKFQsAzm4C2WqNmRuoXLwW+tAvQeHXKy7EJDKXxKdSNsWlPDc65jxkpHJdK59tHk0DZs5JzzuI5p90da5BAUgS4r0gKHxuTgG0EmAC0DS07JgF3EeBC7S69Us3bI80d2LJ1N3oHjN/Nl5MRwPZHN6F82gT92FpqgOduBwZ79LeJ1EzPBR56DSir0NV2PGILPXcbfIO9uvyLq2QwNmmrND6Fuo1HbKHnbodPwZhUHpsYVKid0jH5cWzBH94K/5CJDz0YnHPjEZuqZ6XycdlSA88+K40//dmCBAwR4L7CEC5WJgFlBJgAVIaahkjA2QS4UDtbH3oHvNvQhkdfqDKUBJTk39YH1mDzginGETbuAH56v6EkYDAtG/57fgLMu8GQPZWxySmh+l9vxfz9/4BAsE+/n5KIuPvHhmMTAyrjgwndhgNZCG55AemLbtbP4+OaKmNr27MdRW9+2Zu6CU8T2rlhzg0MDKDutWex9NA/KdFO5ZgMTwMTusmc89/zEnzzjT0rVT9PTr/9I0x796tKdFMdm+GHHRuQgAEC3FcYgMWqJKCQABOACmHTFAk4mQAXaierQ98iBOR0y5Pba3S9DiyvIH5jy0pjJ/+uRC2nkn75mK7XgbtzZ+H44q9g4Sc/j4KCAsOiqYqtpaUF9fX1yOtqxJLap5Hbe1rbV3ml+a7v6j7VmKhDVfGFbZvQLX/htVi0aJE2iwQ1VMQmX9eurKxE1sU67+pmQruGZU+i/Kb7wl8rNVpU6CY+1dXV4ezZs0rnnKrYosxNzLmyNbehrKzMqGzh+iri6+zsRHV1tVLdVMVmCjobkYABAtxXGIDFqiSgkAATgAph0xQJOJkAF2onq0PfYgnICbY9Te14Yc/7eONoK4aDoeif0/w+3LJsKu7fOAsb5xbpu/NPC6/cc/X+e8C+bUDtK0Bo5DXkkD8N5ydvRHPprbhUWB6+80+Sf6tWrTJl2+7YJIm0d+9eyL/DJRRCaX8jFnbuhO+K2OBPAxbfAax7GJh9reZ9hloYPzKnULsxdJPYOqd9Ek1F10d1E//WrFmD/Px8PaFcVcfu2CRpK8nbiG6Fl45gWe8upJ94I25Mul63j8flWHOubdIGtJTdFtVu2rRpWLBggSN16+rqQlVV1YhvoRDm+lsws/WNq54nVmtn95hMMAnGfFZeLLkGp4tvjuomSdsNGzYgLS3NcdoJuwMHDkCSgJE5V9R1DOW9u+Gve817c86UAmxEAqMT4L6Co4MEnEmACUBn6kKvSEA5AS7UypHToAUEuvoG0drZh+7+YeRlBlBSkIX8LOMngXS70tcJdJ0F+ruBzDwgvxRn2jrQ2NgY18WSJUtQUlKiu9tEFe2I7cSJE5C5HlsqKipQWFgIJIgNWcZPMuoN2o74RrWdILZ+X2Y4GTo8PJLQnTBhAoSHT+PjLVoxWh1bd3c39u/fH2e2uLgYS5cu9bZuEnEC7Y41fYBz585FeYhea9euRW5urpY0Y/7dat0kiVRTU4OOjo6o3UAggPXr1yMzM1OpdlbHpgk6gW4XLw/j4MGDcU2nT5+O+fPna3anVcHq+FpbW1FbG/8hqHnz5mHGjBlKdZO4rY5NiyX/TgJWEOC+wgqK7IMErCfABKD1TNkjCbiSABdqV8pGpx1AIBgMYt++fbh8eeSCf9ncyyZfNo4mcZkAACAASURBVPtOKb29vWE/JSkRKZMnT0Z5eblTXFTux6lTp3Dy5Mk4u5JUk+SaU4rodejQIVy8eDHqkt/vD4+vrKwsp7ip1I++vr5w8lbmXqRMnDgRK1asSDp5a2UgkqQ8duxYXJdz5szBrFmzrDTjqr6OHDmC8+fPR32W5O26deuQk5PjmDjkRwEZX/39/VGfsrOzw37K3GMhARLQJsB9hTYj1iCB8SDABOB4UKdNEnAgAS7UDhSFLrmGgGxoZWMbW2STL5t9pxRJIrW3t8clkWRDKxvbVC2y0ZekqCSUIkWSasLFKcnbRGNr9uzZkH9SuUjiVhK4sUWS2ZLUdkJJlESSsSWJ21ROIskPJZJci/0hYtKkSVi+fLkTZAv7kGhsiX/iJwsJkIA+AtxX6OPEWiSgmgATgKqJ0x4JOJQAF2qHCkO3XEHA6ae0Lly4gMOHD8exnDlzJubOnesKvnY62dbWhqNHj8aZcMopLbecLrVTn9H6dvoprUSnS5ctW4YpU0x8kXw8ANtos6mpCadPx398SE5vFhUV2WhVX9duOV2qLxrWIoHxI8B9xfixp2USGIsAE4AcHyRAAmECXKg5EEggOQI9PT3he9piT7ZE7mmTO5w+7OhDz8AwcjMCmDrBvrsKr7RVnJ+BuiMHIa8AR0pGRkb4JJLZy/eTI+Ws1mPd0zYQ8ivTTahcqd1Q13m0fhB/ys2K+yWdpYB5b0a7p61wytRx1a0oy4+jB6viXlGWezZXrlzpqFeUzZNPruXQ0FD4FODAwEC0I3kFWO5xlGfkeD0r5bl8urEe8qNApFh1v2RyxNiaBNxHgPsK92lGj1ODABOAqaEzoyQBTQJcqDURsQIJaBJoaGhAc3NzuJ4klo63B1HVmYu3G9rjvlYcCH+tuCT8teJNcyclnRQQW7ubLuCF3afw5rH4LyMHfMCq4gBunJmOxUX+sK3Fixdj6tSpmvGkSoXYL7VGdHvvXAB7zvTaqltknIymnd8HrI7RTj5SYvYL017UMvZLrRHddpwZQvW5YUfpFkki5eXleVEGUzGdPXsWdXV1cc/KyvZMvHuy01btjD4rk/nCtCkwbEQCHiHAfYVHhGQYniPABKDnJGVAJGCOABdqc9zYigRiCQwODqKyshInLvRj2+F+NHePfHBjNFILS/LwzS0VKJ82wRTMI80deHJ7DepbuzXbT8vz4YmNRfjcjRuSTjpqGnNZBUlG7D7+gTLdBI9R7b6xpQIbF5a5jKy97nZ2duIXb+9ztG5/df003PGJlfaCcFnvkoirrq7G4Q8uKdPO6Hx7bFUu7r75GqSn2/hleZfpRndJQC8B7iv0kmI9ElBLgAlAtbxpjQQcS4ALtWOloWMuI/DLXbV46tUm9A/rdzwnI4CtD6zB5gXG7gd7t6ENj75Qhd4B/cay0/343oNrDdvSH407a7597Cwee7FaiW5CyIx2ZseJOxXR57VwfOT5fegb0k62R3pMhiN106eLnlqv17yPr/zsqJI5Z0Y3Piv1qMg6JJCYAPcVHBkk4EwCTAA6Uxd6RQLKCXChVo6cBj1IQE6YbNm621BCLjYpsf3RTbpPAqq05UGp4kJSzVK1Pa/qp5qjante1U3iUslSpS0va8bYSMAIAe4rjNBiXRJQR4AJQHWsaYkEHE2AC7Wj5aFzLiAgr7Td8vROXa/ijhbOopJ8vP7EZs3Xc1XacgH6pFxUzVK1vaTgOLixao6q7TkYfdKuqWSp0lbSYNgBCXiIAPcVHhKToXiKABOAnpKTwZCAeQJcqM2zY0sSEAK7Gs/j3m2VScN46ZGN2DRv0pj9qLSVdEAO70A1S9X2HI7ftHuqOaq2ZxqMCxqqZKnSlgvQ00USUEaA+wplqGmIBAwRYALQEC5WJgHvEuBC7V1tGZkaAn/6YhVeO/xh0sb+YHkpvnPf6jH7UWkr6YAc3oFqlqrtORy/afdUc1RtzzQYFzRUyVKlLRegp4skoIwA9xXKUNMQCRgiwASgIVysTALeJcCF2rvaMjL7CXT1DaLia7/BcFD/hwhG8yrg96Hm729CflbiL0+qtGU/ufG1oJqlanvjS9c+66o5qrZnH7nx71klS5W2xp8sPSABZxHgvsJZetAbEogQYAKQY4EESCBMgAs1BwIJmCfQ0NqFm/59p/kOrmj51pPXYX5xfsL+VNqyLCCHdqSapWp7DsWetFuqOaq2lzQgB3egkqVKWw5GTtdIYFwIcF8xLthplAQ0CTABqImIFUggNQhwoU4NnRmlPQRqzlzCXd/5vWWdv/z4J1AxozBhfyptWRaQQztSzVK1PYdiT9ot1RxV20sakIM7UMlSpS0HI6drJDAuBLivGBfsNEoCmgSYANRExAokkBoEuFCnhs6M0h4CKk+aqLRlDy3n9KqapWp7ziFtrSeqOaq2Zy0tZ/WmkqVKW86iTG9IYPwJcF8x/hrQAxJIRIAJQI4LEiCBMAEu1BwIJGCegJV3TaX5fTig6A5ALVvmibijpUrdhIhqe+5QwbiXqjmqtmeciHtaqGSp0pZ7FKCnJKCGAPcVajjTCgkYJcAEoFFirE8CHiXAhdqjwjIsZQRUfm1SpS1lAMfJkGqWqu2NE1bbzarmqNqe7QDH0YBKliptjSNSmiYBxxHgvsJxktAhEggTYAKQA4EESCBMgAs1BwIJJEdgV+N53LutMrlOALz0yEZsmjdpzH5U2ko6IId3oJqlansOx2/aPdUcVdszDcYFDVWyVGnLBejpIgkoI8B9hTLUNEQChggwAWgIFyuTgHcJcKH2rraMTA2BUCiEW57eifrWbtMGF5Xk4/UnNsPn843Zh0pbpoNxSUPVLFXbc4kMht1UzVG1PcNAXNRAJUuVtlwkAV0lAdsJcF9hO2IaIAFTBJgANIWNjUjAewS4UHtPU0aknsCR5g5s2bobvQPDho3nZASw/dFNKJ82QVdblbZ0OeTiSqpZir3Pfff36BsKGaZmdJwYNuCiBuOh2+ef3YXLg0HDlKhbPDKV2qm0ZXhgsAEJeJQA9xUeFZZhuZ4AE4Cul5ABkIA1BLhQW8ORvZDAuw1tePSFKkNJwOx0P7734FpsXjDFEMAXf1uFr+34EP0G8o2SiNj6wBrDtgw55sLKZnTLDPiw7Qtrcd3CYkMRX7p0CT9+qwrfPtBH7QyRu7qyOd2Ab31+GW6tmG3Iupwm+8Gru/Cvuy9RN0PkElc2o11Wmsy5dYafX7/cVYunXm2ibhboxi5IQA8B7iv0UGIdElBPgAlA9cxpkQQcSYALtSNloVMuJSAnTp7cXqPrdeDpeT48uioXd998DdLT03VH3NnZierqarzfMYxth/vR3K19mkxeMf7GlpW6TxnqdsYjFY3q9vDyTNy8bgnKysp0E5AkUlVVFbq7u6mdbmpjVzSj2/LphVi9erXm6/axlpubm9HQ0EDdLNJNujGj3WevX4eCggLdXgwODqKyshInLvTzWambGiuSQHIEuK9Ijh9bk4BdBJgAtIss+yUBlxHgQu0yweiu4wlIomdPUzte2PM+3jjaiuHgSIIuze/DqmI/bpiRjsVF/nASQpJICxcu1BWX9H3gwAFIElCK/O+GDqC6Kw+/qW27ytYty6bi/o2zsHFukaGEhy5nPFZJS7d1pRm4rswX1U2Sths2bEBaWpouEmfPnkVdXV20rtjryi7F6409CccJtdOFNTwHxppvm+cWYP3E/qhu0uuiRYtQWlqqy4Akkfbu3Qv5d2TOnbqcgcr2LLx57Or5Td10YY2yHEu71SUBXD89LaqdJP9WrVql+1lWX1+PlpaWqK3j7UFUd+ViR307n5X6ZWJNEjBEgPsKQ7hYmQSUEWACUBlqGiIBZxPgQu1sfeiduwl09Q2itbMP3f3DyMsMoKQgC2eaGnDu3Lm4wNatW4fc3FzNYFtbW1FbWxtXb968eZgxYwYS2crP0n+yUNN4ClVIxHLocjcOHjwYR2H69OmYP3++JpmhoaFwEmlgYCBaNycnB2vXroXf76d2mgT1VUikW25GAPv370dvb2+0k4yMDKxfv15X8vbEiROQdTK2VFRUoLCwkLrpk0VXrUTaXWr7EI2NjXHtlyxZgpKSEs0+5aSt6B5biouLsXTpUuqmSY8VSMA8Ae4rzLNjSxKwkwATgHbSZd8k4CICXKhdJBZd9QSBvr6+cDIoGBz5oMDEiROxYsWKMU+2DA8Ph9v19/dHOWRnZ0OSh5JEYrGfwJEjR3D+/PmoITnBKfwlmTdWaWpqwunTp+OqiN5FRUX2O00LaG9vx6FDh+JIzJw5E3Pnzh2TjiQN9+3bFz5lGCmTJ09GeXk5qSogIM9I4X/58uWotczMzHDyNhAIjOqB6CV6X7x4MVpHnpHSLisrS4HnNEECqUuA+4rU1Z6RO5sAE4DO1ofekYAyAlyolaGmIRKIEjh58iROnToVR0SSCpJcGK2YaUPk1hKQRIQkYWMTQpLEk2TeaCVRm0mTJmH58uXWOsfexiRw+PBhXLhwIVpHkreSEJIk+mhFkkiSPIwUPW0og7UEJOEuiffYMmvWLMyZM2dUQ4nazJ49G/IPCwmQgL0EuK+wly97JwGzBJgANEuO7UjAYwS4UHtMUIbjCgJGT/OZPTXoChguc9LoaT6zpwZdhsXx7ho9zSfJQkkaxhY9pwYdD8JlDho9zWf21KDLsNBdEnAsAe4rHCsNHUtxAkwApvgAYPgkECHAhZpjgQTGh0Ci+/zklcSZxYVAZwsw0ANk5AIFZTjaeAZtbW1RR+Ukktwfp+fewPGJzrtWx7zPb6A7TruLwRwcPN4UB0PvvYHeJTh+kSW6z2/lypWYmB2I0y2YPxX7D9ebvjdw/CL0puWenp7wfX6xJ28j9/mhrzNOuzOdQTR+EH/Hqt57A71Jj1GRgFoC3Feo5U1rJKCXABOAekmxHgl4nAAXao8LzPAcSyDui76hEAovHcb0ll9j0vlK+ELDUb9DvgDaJm9AS9ltuFS4HPD5MG3aNCxYsMCxsXndsbgv+n6s3cKOncg5tQOI086Ptskbo9qlZ2QY+nKw1zmqjk+St5WVlR990fdj3Wa2vomJrbs059zixYsxdepU1S7T3scEGhoa0Nzc/NH/+li7ZT27kN745phzrmDCBENfDiZwEiCB5AhwX5EcP7YmAbsIMAFoF1n2SwIuI8CF2mWC0V1PEejs7ET9Oz/Dktqnkdsb/5GIRIH25MxEffmfo/ym+5Cezi/8jtdgkORtdXU1Qi01hrTrvfWbmLLipvFym3YBtLS0oKXq14Z0O7Xmr7HkhrvH/EgP4dpLQJK2krzNulhnSLvQZ55F3oJP2OsceycBEogS4L6Cg4EEnEmACUBn6kKvSEA5AS7UypHTIAmMEGjcgeBL98I/NPKVSy08wbRs+O/5CTDvBq2q/LuNBHoO/QpZLz+MQLBPt5VQei58d/+Y2ukmZn3F0AmZc/cgMGxEtxz47n6Rulkvh6Ee2/ZsR9GbXzY055CeC3DOGeLMyiSQDAHuK5Khx7YkYB8BJgDtY8ueScBVBLhQu0ouOuslAi01wHO3A4M9xqOSTe1DrwFlFcbbskXyBKhd8gzHowfqNh7UrbHZUoPQc7fDx+elNTzZCwnYRID7CpvAslsSSJIAE4BJAmRzEvAKAS7UXlGScbiKQCgEPLMJaKs173bxUuBLu8J3ArIoJEDtFMK20BR1sxCm4q6onWLgNEcC5glwX2GeHVuSgJ0EmAC0ky77JgEXEeBC7SKx6Kp3CJzcCTx/Z/LxfOEVYM7m5PthD/oJUDv9rJxUk7o5SQ1jvlA7Y7xYmwTGkQD3FeMIn6ZJYAwCTAByeJAACYQJcKHmQCCBcSCw/UHg2H8lb3jpXcCW55Pvhz3oJ0Dt9LNyUk3q5iQ1jPlC7YzxYm0SGEcC3FeMI3yaJgEmADkGSIAEtAhwodYixL+TgMUE+jqB/zsbCA0n37EvAHz1fSCrIPm+2IM2AWqnzciJNaibE1XR5xO108eJtUjAIQS4r3CIEHSDBK4gwBOAHBIkQAJhAlyoORBIQDGBc8eBZzZYZ/TxvcCURdb1x55GJ0Dt3Dk6qJs7dROvqZ17taPnKUmA+4qUlJ1Bu4AAE4AuEIkukoAKAlyoVVCmDRKIIfBBFfD9G6xD8vAOYPoa6/pjT6MToHbuHB3UzZ26hX+l5PPSveLR81QkwH1FKqrOmN1AgAlAN6hEH0lAAQEu1Aog0wQJxBLgiRb3jgdq507tqJs7dROvqZ17taPnKUmA+4qUlJ1Bu4AAE4AuEIkukoAKAlyoVVCmDRKIIWDlnVb+NOB/n+QdgKoGGLVTRdpaO9TNWp4qe6N2KmnTFgkkTYD7iqQRsgMSsIUAE4C2YGWnJOA+Alyo3acZPfYAAX7V0r0iUjt3akfd3KmbeE3t3KsdPU85AtxXpJzkDNglBJgAdIlQdJME7CbAhdpuwuyfBBIQOLkTeP7O5NF84RVgzubk+2EP+glQO/2snFSTujlJDWO+UDtjvFibBMaRAPcV4wifpklgDAJMAHJ4kAAJhAlwoeZAIIFxIBAKAc9sAtpqzRsvXgp8aRfg85nvgy2NE6B2xpk5oQV1c4IK5nygdua4sRUJjAMB7ivGATpNkoAOAkwA6oDEKiSQCgS4UKeCyozRkQRaahB67nb4BnuMu5eeCzz0GlBWYbwtWyRPoKUGwR/eCv/QZeN9UTvjzKxqEZ5zt8E32Gu8R+pmnJmVLVpqMPyDWxEY5pyzEiv7IgGrCXBfYTVR9kcC1hBgAtAajuyFBFxPgAu16yVkAC4m0LZnO4re/DICwT7dUQz7s9B31/eRu8KCV4h1W2XFWAIDAwOoe+1ZLD30T4a0C6Zlw3/PT4B5NxDoOBE4/faPMO3drxrSbTiQheCWF5C+6OZx8ppmL126hFM7foTyI183pB3nHMcOCaglwH2FWt60RgJ6CTABqJcU65GAxwlwofa4wAzPsQQGBwdRWVmJrIt1WFL7NHJ7T2v62p07C8cXfwW+sgqsXr0aPr7+q8nMjgp1dXU4e/Ys8roaDWu38JOfR0FBgR1usU8NAp2dnaiurjalW/7Ca7Fo0SIyHgcCoVAIVVVV6O7uNqxdw7InUX7TfUhPTx8Hz2mSBFKPAPcVqac5I3YHASYA3aETvSQB2wlwobYdMQ2QQEIC9fX1aGlp+ehvoRAKLx3Bst5dSD/xBhAaHmnjT0PvrBtRX7AZlwrLo3f+STKitLSUdBUT6OrqCicjoiUUwlx/C2a2vgHUvhKnXcifhvOTN6K59NaodpL8W7VqFZO3inWTJNKBAwcgScDInCvqOoby3t3w17121ZzrnPZJNBVdHzfn1qxZg/z8fMWe05wk2yXpHjvnluVexJT3X04459ombUBL2W1R7aZNm4YFCxYQJAmQgAIC3FcogEwTJGCCABOAJqCxCQnEEpBfouUkwd69e8P/7Nu3D++//364yqxZs6L/t15qR48exbe//W289dZbaG5uRl5eHpYsWYL77rsPf/Inf4K0tDS9XRmqx4XaEC5WJgFLCMjzY//+/XF9FRcXY+nSpUBfJ9B1FujvBjLzgPxSBDPywvV7e0fuLsvIyMD69ettezZYEqjHOpEkUk1NDTo6OqKRBQKBsA6ZmZkJtTvT1oHGxsY4EvJsLykp8RgdZ4fT2tqK2tr4j+7MmzcPM2bMSKhbvy8zvLYPD48k4ydMmICKigombxVKPTQ0FNZBXruPlJycHKxduxZ+vz+hdseaPsC5c+ei9eWktNTPzc1V6DlNkUBqEuC+IjV1Z9TOJ8AEoPM1oocOJ3D99dfjd7/7XUIvjSYAf/CDH+Dxxx9Hf39/wv42btyIV155BZMmTbKcChdqy5GyQxIYk4AkkQ4dOoSLFy9G68lGVpJIWVlZo7Ztb28Pt4stM2fOxNy5c0lcEQFJKhw7dizO2pw5c8I/+oxWgsFg+Aeiy5dHPl4gyULRW5KHLPYTkCSeJJFi19js7GysW7fuoyTSKOXUqVM4efJk3F8lSS/JehY1BCR5fubMmThjK1asQFFR0agO9PX1hfWWuRcpEydOhLTjtQlqdKOV1CXAfUXqas/InU2ACUBn60PvXEDgU5/6FN55552wp/IflvLr8u7du8N31BhJAL7xxhu4/fbbw/+hKidC/uZv/gYbNmyAbPa3bduGX/ziF2Eb1113Hd5+++0xNytmsHGhNkONbUjAPIHz58/jyJEjcR3Mnj0b8o9WOXz4MC5cuBCtJptZSSRJMoPFXgKJkkiSsBX+YyWRxKtEmss6IclDFvsJSBJPknmxZfny5Zo/qonmkryVhFKkiOaSOGTy1n7dJGkuiTz50SRS5IdQ0U6rJNK8vLwckydP1mrKv5MACSRBgPuKJOCxKQnYSIAJQBvhsuvUIPC9730v/JqubP7mz58fDlo28LLJ0JsAlFdb5FWwEydOhC+Fl1eK5ZWk2CInA5955pnw/+v555/Hgw8+aClgLtSW4mRnJDAmgWRPg8krwJKQiN0Qy4ZWNrYs9hJIdBps2bJlmDJliqZhs6c+NTtmBU0CyZ4Ga2trg1zREVu0Tn1qOsUKugjIDyWSPI8U+cFDkq/yCrBWMXvqU6tf/p0ESGBsAtxXcISQgDMJMAHoTF3olcsJGE0A/uxnP8OWLVvCUX/961/HU089dRUB2fBPnz49/LqgbPLlBJCVhQu1lTTZFwnEE+jqG8SHHX3oGRhGbkYAQ13n0fpB/Ekko/fByQ8GMm9jy8qVK5GWnRdna+qELORn8cuXZsbklboVZflx9GBV3CuFhYWFEO56Xyns6ekJ3+MYm7yN3Pt4pT1qZ0Y1IBHH0431kCRebBLJyH1wY937OBDyc86Zk+qqVldqlxXqQ+Px+MSr/LdQ5AdXPWZHu/excMpU6qYHIOuQgAkC3FeYgMYmJKCAABOACiDTROoRMJoAlA98/OQnPwmDkq/cTZ06NSG0xx57DFu3bg3/Tb4cauXX7LhQp944ZcT2EpCEwe6mC3hh9ym8eawVw8GR19f8PmB1cQA3zkzH4iI/5KMCRr8IKyeHKysrMTg4GE4mHW8P4nctIew/OxBnK+D34ZZlJbh/4yxsmjtJd6LKXjrO7d2IbpGPCsgpcCOloaEh/JEnKRHtqjpz8XZDO7UzAjKm7li6BXzAqpj5JrqZ+SJs7JefI7q9dy6APWd6qZtJ3SJzQO+zUj56JNejGPkgWuyXnyO67TgzhOpzw9QtCd3YlATGIsB9BccHCTiTABOAztSFXrmcgNEEoFzgL5dbL1q0CMePHx81+pdeegn33ntv+O8//OEP8dBDD1lGigu1ZSjZEQngSHMHntxeg/rWbk0a0/J8+MaWCmxcWKZZ98oKLS0teHNfLbYd7kdz90iCcbSOFpbk4ZtbKlA+bYJhW6nQwKhuf3X9NNzxiZWG0UjSVpK3Jy70UzvD9K5uYFS3x1bl4u6br0F6uvGTsXV1ddh9/APqZoFu0oVR7f7xjoW4vuKj61aMlM7OTvzi7X3UzQg01iWBJAhwX5EEPDYlARsJMAFoI1x2nboEjCQA5WMhcu+f/Cr96U9/Gi+//PKo4A4cOIDVq1eH//6Xf/mX+Jd/+RfLIHOhtgwlO0pxAu82tOHRF6rQOzCsm0RORgBbH1iDzQu075GL7XRn/Tk88vx+9A9rJ/8i7cza0h2MSyuq1E0Q/XJXLZ56tQn9+ocJqN3Vg8uMbtnpfnzvwbWG55tYf/vYWTz2YjV1s2Cem9HO7BwQW488vw99Q3xWWiAduyABTQLcV2giYgUSGBcCTACOC3Ya9ToBIwlAOfEnd39JkQ99/Od//ueoeOQS7MhF83fffTfkRKDecuVdYVe2k1eP5UMmUuQ0otyxw0ICJGCMgJxm2bJ1t6HkX2xibvujm3SfzlNpyxgF99VWzVK1Pfcpos9j1RxV29NHwZ21VLJUacudatBrErCeABOA1jNljyRgBQEmAK2gyD5I4AoCRhKA8iXPSOLtq1/9Kv75n/95VJ6XL1+OfvXujjvuwK9+9Svd7PVeUM8EoG6krEgCcQTkFO8tT+/U9drvaOgWleTj9Sc2a97Tp9KW12VWzVK1Pa/qp5qjante1U3iUslSpS0va8bYSMAoASYAjRJjfRJQQ4AJQDWcaSXFCBhJAL777ru47rrrwoT+7u/+Dl/72tdGpRUMBhEIBMJ/v/HGG/HWW2/pJssEoG5UrEgCpgjsajyPe7dVmmob2+ilRzZi07xJY/aj0lbSATm8A9UsVdtzOH7T7qnmqNqeaTAuaKiSpUpbLkBPF0lAGQEmAJWhpiESMESACUBDuFjZrQTka5lmLvu+Mt7nnnsOX/ziFzUxGEkAqjoByFeANWVjBRJIisCfvliF1w5/mFQf0vgPlpfiO/d9dNfnaEWlraQDcngHqlmqtudw/KbdU81RtT3TYFzQUCVLlbZcgJ4ukoAyAkwAKkNNQyRgiAATgIZwsbJbCTg5AajqDkAt7bhQaxHi30lgdAJdfYOo+NpvMBzUf8H8aL0F/D7U/P1NyM9K/IVSlba8rrlqlqrteVU/1RxV2/OqbhKXSpYqbXlZM8ZGAmYIcF9hhhrbkID9BJgAtJ8xLTiEgCTaki2lpaWYMGGCZjdGTgDKV4Dz8/PDffIrwJpoWYEEHEmgobULN/37Tst8e+vJ6zC/+KPnwpVFpS3LAnJoR6pZqrbnUOxJu6Wao2p7SQNycAcqWaq05WDkdI0ExoUAE4Djgp1GSUCTABOAmohYgQSMEzCSAJTeZ86cGf7y7qJFizBWolK++nvvvfeGHfrhD3+Ihx56yLhzo7TgQm0ZSnaUggRqzlzCXd/5vWWRv/z4J1AxozBhfyptWRaQQztSzVK1PYdiT9ot1RxV20sakIM7UMlSpS0HI6drJDAuBLivGBfsNEoCmgSYANRExAokYJyA0QSgJPUkuSfl7NmzyePDKQAAIABJREFUmDp1akKjjz32GLZu3Rr+W11dHRYuXGjcOSYALWPGjkggQkDlSROVtryusGqWqu15VT/VHFXb86puEpdKlipteVkzxkYCZggwAWiGGtuQgP0EmAC0nzEtpCABownA7du344//+I/DpL7+9a/jqaeeuopab28vpk+fjosXL2Lp0qU4evSopWS5UFuKk52lGAEr75pK8/twQNEdgFq2vC6jSt2EpWp7XtVPNUfV9ryqm+o5QN28PJIYm9MJcF/hdIXoX6oSYAIwVZVn3LYSMJoAHBwcxJIlS9DY2IiCggJUV1dj3rx5cT4+/vjjeOaZZ8L/P71fIzYSJBdqI7RYlwSuJqDya5MqbXlda9UsVdvzqn6qOaq251XdJC6VLFXa8rJmjI0EjBLgvsIoMdYnATUEmABUw5lWPEzgxIkTeO+99+Ii/Iu/+AtcuHABkyZNwr/927/F/e3WW29N+Irva6+9hjvvvBPBYBAlJSX427/9W6xfvz584m/btm34+c9/Hu7n2muvxe9+9zsEAgFLqXKhthQnO0tBArsaz+PebZVJR/7SIxuxad6kMftRaSvpgBzegWqWqu05HL9p91RzVG3PNBgXNFTJUqUtF6CniySgjAD3FcpQ0xAJGCLABKAhXKxMAlcT+NGPfmToYxxvv/02PvWpTyVEKYm+P/uzP8PAwEDCv0tC8NVXX8XkyZMtl4ILteVI2WGKEQiFQrjl6Z2ob+02Hfmikny8/sRm+Hy+MftQact0MC5pqJqlansukcGwm6o5qrZnGIiLGqhkqdKWiySgqyRgOwHuK2xHTAMkYIoAE4CmsLERCYwQsDIBKL0eOXIE//Ef/4Hf/va3aGlpQW5ubvj14Pvuuw8PP/ww0tLSbMHPhdoWrOw0xQgcae7A5777e/QNhQxHnpMRwPZHN6F82gRdbcXWlq270TswrKt+bCWjtgwbcFkDYfn5Z3fh8mDQsOdmWFI7w5gTNlDNUbU9ayg5s5fwnPvuLlwesn/OUTdnjgF65W0C3Fd4W19G514CTAC6Vzt6TgKWEuBCbSlOdpaiBC5duoQfv1WFbx/oQ7+BvJwkkbY+sAabF0wxRO7dhjY8+kKVoSRgZgB49r7VuH5pqSFbXq4sp4R+8Oou/OvuS0p0E5ZmtMtO9+N7D641PE68rN0vd9XiqVebHK1bZsCHbV9Yi+sWFntZCkOxyZsO33/l9/hWVa8S7czMN3lWfuvzy3BrxWxDsbEyCZAAwH0FRwEJOJMAE4DO1IVekYByAlyolSOnQY8RkCRSVVUVuru78X7HMLYd7kdzt/ZJQHnt9xtbVuo++XclNjnd8uT2Gl2vHk/P8+Hh5ZnYtHg6Fi1a5DEFzIfT3NyMhoYGpbqJt0a1e3RVLu6++Rqkp6ebD9ZDLeUDWpWVlThxoV/ZfDOjm8y5m9ctQVlZmYfoJxdKXV0dzp49q3TOGZ1votvy6YVYvXq15rUMydFgaxLwHgHuK7ynKSPyBgEmAL2hI6MggaQJcKFOGiE7SHECspmVTW2kSEKwK7sUrzf24I2jrRgOjiQD0/w+3LJsKu7fOAsb5xYlvbkUW3ua2vHCnvcT2to0IwfXFA9jcZE/amvNmjXIz89PcdUASSLt3bs3/G8pwvLU5QxUtmfhzWP26haxN5Z2q4r9uGFGelQ7SSItXLgw5XUTAPX19eGrMiIcj7cHUd2Vix317bbONz26rSvNwHVlvqhukrTdsGGDbdd4uGlAdHV1hX8siX1WnkMh3mkJjvuzcvPcAqyf2B/3rJQfS0pLeWLaTWOMvo4/Ae4rxl8DekACiQgwAchxQQIkECbAhZoDgQTMExgaGgonkWI/4JOTk4O1a9fC7/ejq28QrZ196O4fRl5mACUFWcjPsucUVyJbGb5g2L/h4ZH3kidMmICKioqkk4/mqTmjpXzJXZ5/sUW4FBYWKtVN7CfS7kxTA86dOxfn37p168L3w6ZykZO2+/fvj0NQXFyMpUuXOkK3ocvdOHjwYJx/06dPx/z581NZtnCCvaamBh0dHVEOgUAA8pGzzMxMpdolmm+5GYHwuOrt7Y36l5GREfbPrjuYU3pAMHjPEuC+wrPSMjCXE2AC0OUC0n0SsIoAF2qrSLKfVCTQ1NSE06dPx4W+YsUKFBUVOQbHqVOncPLkyTh/li1bhilTjN076JiALHBENvn79u0LJyUiRb6yXl5ebkHv1nTR19cXTt4GgyMfS5g4cSJkfGl9LdoaD5zXi+h16NAhXLx4MeqcJNolSZOVleUYh+WjXufPn4/6I3pJ8lZ+HEjVIsnsY8eOxYU/Z84czJo1yzFI2tvbw+MrtsycORNz5851jI90hAScToD7CqcrRP9SlQATgKmqPOMmgSsIcKHmkCABcwQuX74cTtDEJpEmTZqE5cuXm+vQplaSQBI/JaEUKZIskYSEnMBJxSKbfNnsR4okaCSJlJ2d7SgckriVBG5skSSlJCtTsUhSTZJrsWX27NmQf5xUEj0b5EcBSd6mYpETyPIM6u/vj3sGyZyTBK6TyuHDh3HhwgXHPxucxIy+kEAsAe4rOB5IwJkEmAB0pi70igSUE+BCrRw5DXqEgJtO+bS1teHo0aNx5J12+kbVsJDNvWzyY4tTT/kkSpxIklKSt05LnNitnySy5dSmJNciRV4dlSSSExPZbjgdbLdmkf7ddArZDaeDVelGOyRghgD3FWaosQ0J2E+ACUD7GdMCCbiCABdqV8hEJx1GQF5BtOueL7mf6sOOPvQMDEPupZo6Ifl7A8e8fyvUD3S2AAM9QEYuUFAGZBXYRtyO+EZ1tq8zLrZg/lTsP1xv2z1fdsTW2tqK2trauBDllcSZxYXe1U2ivUK7M51BNH4QfyfikiVLUFJSkvRYtUO3Me8HHehWpp0dsY0J/Ard+rMmo7LmWNyr7HLP5sqVKy15ld2O+BLdDyr+yiv4LCRAAmMT4L6CI4QEnEmACUBn6kKvSEA5AS7UypHToMsJSDJNLovv6emJRpLslz6lz91NF/DC7lNXfYE2EP5ycEn4y8Gb5k4yvWmO+3hCKITCS4cx98IOFDTvBEIjHwmBLwAsuQNY9zAwezPg8yWtmIr4ok7KvX7vvwvs3QYcfzUutpAvgLbJG9BSdhsuFS4Px7Z48WJMnTrVdIx2xyb9HzhwAJ2dnfKp4rBu01t+jUnnK+Hzkm6iwJja+dE2eWNUu4IJE7Bq1SrT88Fu3SScuC+Ef6zdwo6dyDm1w9Y5pyK2uAljcM7JR5Ly8vIcO+ckeVtZWRn9Qrg4Kh/fEb9T9f5N02KxYcoR4L4i5SRnwC4hwASgS4SimyRgNwEu1HYTZv9eI9Dc3IyGhoa4sBYuXIiysjJToR5p7sCT22tQ39qt2X5hSR6+uaUC5dMmaNZNVKGurg5d9e9hSe3TyO2N/3hJwg6nLAE+8yxQVmHKnjRSGR9aaoBfPga0xZ+YS+R8T85MnFrz11hyw92mN/WqYpPkX/07P/OubiKQQe1Cn3kWeQs+YWpcqtJNEnHV1dUItdQo005VbFHwBnVr2/yPmL3p06Z0U/k8aWlpQX19vWXPedMBsyEJuIwA9xUuE4zupgwBJgBTRmoGSgJjE+BCzRFCAvoJDA4Ohi+zl39HipxkWbNmjakk0rsNbXj0hSr0DsScwNNwJycjgK0PrMHmBca/4jtY9yb82x9AYHjkgyCa0afnAnf/GJh3g2bVKysoja9xB/DT+4HBkZOZWg6H0nPgu/tFV8QWfOle+IdG7r/Tig1u0U0CMaGd2fiUjkkAPYd+hayXH0YgaP+cUx2bGd3cMufsOOmtOWdZgQQ8QID7Cg+IyBA8SYAJQE/KyqBIwDgBLtTGmbFF6hJIdDdURUUF5E4ro0VO6mzZuttQ8i9iQ5KA2x/dZOwkoJzUee52QwmyaEySTHroNUMnAZXGx9gSDz+n6yZeK9RO6ZhkbKM/Et0wLgHYeder0fWC9UnALQS4r3CLUvQz1QgwAZhqijNeEhiFABdqDg0S0EfAyq9DyumSW57eqeu139G8W1SSj9ef2Kzv5KHc0fXMJl2vxo5Ko3gp8KVduu4EVBofYxt7ADtVN/FaoXZKxyRj036oOnlcxnjvpq+9a0NnDRKwnwD3FfYzpgUSMEOACUAz1NiGBDxIgAu1B0VlSLYQOHToENrb26N9+/1+rFu3DtnZ2Ybt7Wo8j3u3VRpud2WDlx7ZiE3zJmn3c3In8Pyd2vW0anzhFWDOZq1aUBofY9PUA07UTbxWqJ3SMcnYtMek1HDquIzx/vLly+FrHySBHCmTJk3C8uXL9cXIWiSQYgS4r0gxwRmuawgwAegaqegoCdhLgAu1vXzZu/sJyMavtbUVR48ejQtmxowZmD17tqkA/+f/O4jXj54z1Ta20W3LSvCtP16h2U/aL/4H/Md/pVlPq8Lw4j/E8Gd/oFUNKuNjbJpywIm6idcqtVM5Jhmb9piUGk4dl1d6f/LkSch/K8WWZcuWoaSkRN8JbH04WIsEPEGA+wpPyMggPEiACUAPisqQSMAMAS7UZqixTSoR6Ovrw89//vO4D38EAgFMmzYNcgrQaLk8FMLjv+1FcORAidEuovX9PuA7N+YgO803ah+BoV5c+9598CFo2k6kYQh+vHftixhOyxm1L5XxMTZ9kjpNN/FapXYqxyRj0zcmpZYTx2Ui74PBIOTr78PDIx9rSk9Pxx/90R8hKytLf8CsSQIpQID7ihQQmSG6kgATgK6UjU6TgPUEuFBbz5Q9eouAnP5455134oKaPHky5Ou/ZkpzdxB/856Br7lqGPk/12ajLG/0RGROz2ms3/dlM64mbLN33X+iN3fGqP2pjI+x6ZfVSbqJ1yq1UzkmGZv+MSk1nTYuR/O+q6sLFy5ciPvzJz/5ScyZM8dYwKxNAh4nwH2FxwVmeK4lwASga6Wj4yRgLQEu1NbyZG/eIiCv/+7btw/Hjh2LBpaRkYHS0lLTr341XRrG1/b0WQbq7zdmYW5hYNT+8jvrsab6Ly2zV7X6X9FVsHDU/lTGx9j0y+ok3cRrldqpHJOMTf+YlJpOG5ejeS9rwdmzZzEwMBCtsnTp0vA9sD7f6CewjdFgbRJwPwHuK9yvISPwJgEmAL2pK6MiAcMEuFAbRsYGKUZAXgF+44030NHRAXkVbOrUqUm99uXl00gyNFTGp/IUGWMzNvGddDJV5ZgUSirHpZdjUz3ntEa4rAUffvhh+OqHCRMm4JZbbklqLdCyx7+TgBsJcF/hRtXocyoQYAIwFVRmjCSggwAXah2QWCWlCcjJj8HBwfDJD/kKsCQAkyndfUNY98+/w7AFlwCm+X3Y+9SnkJeVNrpL/V1I/+YC+EIj91eZ9T/kT8Pg/6oHMvNH7UJpfIxNl5SO0028Vqid0jHJ2HSNSankyHGp4b2cApSvAMtJcLkHkKf/dMvNiilCgPuKFBGaYbqOABOArpOMDpOAPQS4UNvDlb2SwFgE/vTFKrx2+MOkIf3B8lJ8577V2v1sfxA49l/a9bRqLL0L2PK8Vi0ojY+xaeoBJ+omXivUTumYZGzaY1JqOHVc6vOetUiABBIQ4L6Cw4IEnEmACUBn6kKvSEA5AS7UypHTIAlgV+N53LutMmkSLz2yEZvmTdLu5+RO4Pk7tetp1fjCK8CczVq11MbH2DT1gBN1E68VauflOefl2GSYKI9Pe0axBgmQwCgEuK/g0CABZxJgAtCZutArElBOgAu1cuQ0SAKQ14pveXon6lu7TdNYVJKP15/YrO8VtFAIeGYT0FZr2h6KlwJf2gXouPBeaXyMbWxNnaqbeK1QO6VjkrFpP2ecPC61vWcNEiABJgA5BkjAVQSYAHSVXHSWBOwjwASgfWzZMwmMReBIcwe2bN2N3gHjd/PlZASw/dFNKJ82QT/klhrguduBwR79bSI103OBh14Dyip0t1UaX0sNQs/dBt9gr27/ohVdEJtndRMRWmow/INbERi+bLt2Ssfkx7Gp0m48YvPsnDM+EtmCBEjgYwLcV3AokIAzCTAB6Exd6BUJKCfAhVo5chokgSiBdxva8OgLVYaSgJL82/rAGmxeMMU4ycYdwE/vN5QEHA5kwX/PS/DNv8GwPZXxnX77R5j27lcRCPbp91OSf3f/GJjn7NhgRjd/Fvru+j5yVxh/9VulbpcuXcKpHT9C+ZGvK9FOZWzhgWhCu2BaNvz3/MTwuFQZm5yorP/1Vszf/w9KdBOUKuPT/xBhTRIggVgC3FdwPJCAMwkwAehMXegVCSgnwIVaOXIaJIE4AnJy58ntNbpeB5bXfr+xZaWxk39X8paTgL98TNfrwN25s3B88VdQtuY2lJWVmVJORXydnZ2orq5GXlcjltQ+jdze09q+yiuId33X0KnGKztVEVvUpgndfGUVWL16tb7XxK8ITkVskkSqqqpCd3e3Uu1UxBaH04R2Cz/5eRQUFGiP43HQTUy2tLSgvr5eqW5iV7l2hhVgAxJIbQLcV6S2/ozeuQSYAHSuNvSMBJQS4EKtFDeNkUBCApII2dPUjhf2vI83jrZiOBiK1kvz+3DLsqm4f+MsbJxbZCqZc5VRuXvt/feAfduA2leA0MhryCF/Gi6WXIPTxTfjUmF5+M6/9PR0bNiwAWlpaaYUtDM+6fvAgQOQJGC4hEIo6jqG8t7d8Ne9Fhcb/GnA4juAdQ8Ds6/VdZ+hVsB2xmZEN4mtd9aNqC/YHNVN2i9atAilpaVaYYzLuDx79izq6upGbIdCWJZ7EVPef/mqcWm1dkp1+3hcjjXnzk/eiObSW6PaSfJv1apVpua73bENDg5i7969kH9H5lxpfyMWdu6E74rnidW6fYRS8fPS1OxhIxJITQLcV6Sm7oza+QSYAHS+RvSQBJQQ4EKtBDONkIBuAl19g2jt7EN3/zDyMgMoKchCfla67vaGK/Z1Al1ngf5uIDMPyC/FxcvDOHjwYFxX06dPx/z58w13f2UDq+NrbW1FbW38x03mzZuHGTNmAAliQ5bxU1V6g7Y6tjHtJogtmJGH/fv3o7d35C7EjIwMrF+/3nTyNuKD1bENDQ2Fk0gDAwP/v707gdajrA8G/mQjOwRCFpYASQiBkLCHzWpFi8W6VD8BLajoUQoFTz8PbRVb6360m5/F1gWwCrVWDrbWU5CKgCy2soSEJQSEJKyGmJ1AIAskfOc/Pe/1Xrg39537vncyM+/vOSeH5Z2Z5//8/nMzd/7vzPN0DXPMmDHpuOOOS0OHDi00d+0eW7/nSy+5e2rNxrR8+fIeux522GFpypQp/R5uZxsMxtiWLVuW4neH7u2oo45KEyZMKDRv0f9gjK8lcDsT6HAB9xUdfgIYfmkFFABLmxqBEShWwIW6WG+9EaiKwAMPPJDWrl3bFe6QIUPS/PnzUxRpytK2b9+eFZG2bt3aFdLo0aOzOLMiUge29evXp/vvv7/HyA844IA0Y8aMUmlEseupp57qEdMRRxyR9tprr1LFWVQwO3bsSAsWLEibN/9mMZSRI0dmxdthw4YVFUa//URxOeKMp/Aabe+9905z587td18bECBQfwH3FfXPsRFWU0ABsJp5EzWBtgu4ULed1AEJ1EIgChFRXOt+oz9x4sQ0b9680ozvscceS0888USPeCK+iLOT2+LFi9O6deu6CKJ4G4WkKI6WoVXh3NoVTlFwj8J793bggQem6dOn74pweu0zistRZG60KLRHwb0s51ZpoARCoEMF3Fd0aOINu/QCCoClT5EACRQj4EJdjLNeCFRR4NFHH01PPtlzQY2yPKW1ZcuWrEAZT0412p577pkivih4dXIr+1NaVXi6dFecP1FsjwLbhg0behTYong7atSoXRFSjz6jqBzF5e6tjE+X7nIoARDoYAH3FR2cfEMvtYACYKnTIzgCxQm4UBdnrScCVRPY2Txtz2/bnn69cUuKf47dbViausfgzVUY83y9sq8nlz+S1qxZ00UaRb+YP27s2LFVYx6UeHubp+3II49Mw0ePKyxvMbBX5m7Uy1vS8l8u6THmds0vOSiQBR/0+eefz+Zx7P7k7eTJk9OcOXNeZVnkz9zk8bulhx+4b1DmlyyYWHcECAyigPuKQcR1aAItCCgAtoBnVwJ1EnChrlM2jYVA+wW6r9QaRYlfrt+R7lw/Mv38sWd7rFY8LFuteEq2WvFJMya2/BRe9HX7o+vSd29/Iv30wZ4rIw8bktLRk4elNx4wIh2619Csr/322y/NmjWr/QAVPWIUb++8885spdZG3m55+uV098ptg5q34NpZ7oYOSemYbrmLRUpaWWG6ounZadhLly5NK1asyLZp5G7hs2PTzUvXD2ru8v7MHXrooWnq1Kl1TIExESAwQAH3FQOEsxuBQRZQABxkYIcnUBUBF+qqZEqcBHaNQBQFFi1alBb/6pl0+eKtacWm30z+31dEh0wZl/7fmUelufvtMaCgH1ixMV109b3pkVWb+t1/v3FD0vlHj03vedPJacSIQVwtud9IyrfB008/nX664KHC8hYCeXP3hbcekk45qvXVpcunP/CIomgbxdtl67YWlru8efvoiXul0994QsuF/oEr2ZMAgTIKuK8oY1bERCAlBUBnAQECmYALtROBAIH+BH5y7+Pp//5gSdq6vb8tf/P5mN2GpUvfd2x67axJze+UUvr50jXpvO8uTC9sa76z0SOGpsvef1zuvnIFVsGNb3tkdTr3yrvT1u39F20bwxto3mL/geSulf4qmJKmQ/6PXzyULv7xo37mmhazIQECZRBwX1GGLIiBwKsFFACdFQQIKAA6BwgQ6Fcgngw689LbcxXkuheTrj7vpKafBCyyr34HXvENirYsur+Kp2en4RdpWWRfdc6ZsREg8L8CCoDOBALlFFAALGdeREWgcAEX6sLJdUigMgLx+u/v/v1tTb2K29egZk8Zn37y0df2+6pgkX1VJgEDDLRoy6L7GyBLJXYr0rLIviqBL0gCBFoWcF/RMqEDEBgUAQXAQWF1UALVE3Chrl7OREygKIFfLF+bzrr8zpa7+/65J6aTZk7c6XGK7KvlAZX8AEVbFt1fyflbCq9IyyL7agnFzgQIVEbAfUVlUiXQDhNQAOywhBsugb4EXKidGwQI9CVwwfcWpusW/7ploLfM2yd97exjdnqcIvtqeUAlP0DRlkX3V3L+lsIr0rLIvlpCsTMBApURcF9RmVQJtMMEFAA7LOGGS0AB0DlAgEAegee2vJiO+twNafuO5heQ6Ov4w4YOSfd+6tQ0flTvq/QW2VcegypuW7Rl0f1VMSfNxlykZZF9NTt+2xEgUH0BBcDq59AI6imgAFjPvBoVgdwCLtS5yexAoCMElq56Lp36ldvaNtYbL3pdOnjy+F6PV2RfbRtQSQ9UtGXR/ZWUvS1hFWlZZF9twXEQAgQqIeC+ohJpEmQHCigAdmDSDZlAbwIu1M4LAgR6E7j3qWfSO772P23D+dGFr0lHTZvQ6/GK7KttAyrpgYq2LLq/krK3JawiLYvsqy04DkKAQCUE3FdUIk2C7EABBcAOTLohE1AAdA4QINCsQJFPCBXZV7Pjr+p2RVsW3V9V89JM3EVaFtlXM2O3DQEC9RBQAKxHHo2ifgIKgPXLqRERGJCAC/WA2OxEoPYC7ZwjbPjQIemeguYA7K+vuieuyLyFZdH91Tl/RVoW2Vedc2ZsBAj0FHBf4YwgUE4BBcBy5kVUBAoXcKEunFyHBCojUOQqoUX2VZkEDDDQoi2L7m+ALJXYrUjLIvuqBL4gCRBoWcB9RcuEDkBgUAQUAAeF1UEJVE/Ahbp6ORMxgaIEfrF8bTrr8jtb7u77556YTpo5cafHKbKvlgdU8gMUbVl0fyXnbym8Ii2L7KslFDsTIFAZAfcVlUmVQDtMQAGwwxJuuAT6EnChdm4QINCXwMsvv5x+9+9vS4+s2jRgpNlTxqeffPS1aciQITs9RpF9DXgwFdmxaMui+6tIGgYUZpGWRfY1IAw7ESBQOQH3FZVLmYA7REABsEMSbZgE+hNwoe5PyOcEOlvggRUb05mX3p5e2LY9N8SY3Yalq887Kc3db4+m9i2yr6YCqvBGRVtGf2d84xdp80s7cqvlPU9yd1CxHYrMXZF9VSwNwiVAYAAC7isGgGYXAgUIKAAWgKwLAlUQcKGuQpbESGDXCvx86Zp03ncX5ioCjho+JF1+zvz02lmTcgX/H794KF3840fT1hz1xiggXfq+Y3P3lSuwCm48kLyNHJbSN88+Jp0yZ59cI962bVv61rX/ky5Z+ILc5ZLrfeOB5G70iKHpsvcfl/vn4Hs3LUyf+9mv5a0NeXMIAp0u4L6i088A4y+rgAJgWTMjLgIFC7hQFwyuOwIVFYgnhS66+t6mXgfef9yQ9OF5I9P/OWV+2n333Zse8YsvvpjuvPPOtGzd1nT54q1pxaaX+903XjH+8plHNv2UYb8HrNkGA8nbSYfun2bPnp1L4uGHH04rV65Mj2/cLne55PreOG/uzjt6bHrPm05OI0aMaDqCZ599Ni1atEjemhazIQECOxNwX+H8IFBOAQXAcuZFVAQKF3ChLpxchwQqKxBzht3x6Pr03TseT9cvWZW27/hNgW740CHpmCnD0in7D0+H7jU0m/Mvin9HH310v/P/NUAeeeSR9PTTT2f/GX39cv2OtOi5selnj6x/VV+/e/jU9N4TD0wnztir6eNXFr7FwPvL20nTxqSTJ2/vylt0d+yxx6bx48c31fNzzz2XFi5c2LVt9Lc6TUi3Pr2j1/NE7ppi7fo52NnP3NGTh6Y3TBvRlbt99903HXLIIU11EHm65557UhQBGz9zSzemtOi5cemGh9b4mWtK0UYECHQXcF/hfCBQTgEFwHLmRVQEChdwoS6cXIcEaiHw3JYX06pnt6RNW7encSOHpSm7j0rPrPl1Wr58eY/xHXbYYWnKlCm/L6sfAAAgAElEQVT9jnnTpk3p7rvv7rHd5MmT05w5c1JvfY0f1fxTTv123kEb9Ga525Ad6a677krbt//mves99tgjHXXUUf0WV6OIdO+996aNGzd2KQ4bNiwdf/zxaeTIkXLXxnOrt9w99ejStHr16h69zJ8/P40dO7bfnletWpUeeuihHtvNnDkzTZs2Td761bMBAQK9CbivcF4QKKeAAmA58yIqAoULuFAXTq5DArUV2LFjR1qwYEHavHlz1xijCBTFoCgK9dWiiHT//fenDRs2dG0ydOjQbL9Ro0bV1qtMA3viiSfSY4891iOkww8/PE2atPM5HKP49OCDD/bYb/r06enAAw8s0/BqG8uWLVuy4m387DXannvumY444oidFm+j2Bv7bd26tWu/0aNHpygexs+eRoAAgYEIuK8YiJp9CAy+gALg4BvrgUAlBFyoK5EmQRKojMDatWvTAw880CPeKAZFUaiv1ts+Bx10UIo/WjECUUCKglAUlBotiq9REOqreNtbESn2icKtIlIxeYteonAbBdzube7cuWnvvffuM4iB7FPciPREgEBVBdxXVDVz4q67gAJg3TNsfASaFHChbhLKZgQINCWQ92m+gT412FQwNsolsGbNmrRkyZIe++zsab6BPjWYKygb9yuQ92m+gT412G8gNiBAoOMF3Fd0/CkAoKQCCoAlTYywCBQt4EJdtLj+CNRf4Pnnn8/m84tiYKM15vN75eiffPLJ9Oijj/b4383OG1h/yWJH2N98ft2jiVdHY8Xm7q+eTpgwIR155JH9zhtY7Kg6o7fe5vObMWNGOuCAA14FEEXeKPY2WizYc9xxxzU1b2BnaBolAQIDFXBfMVA5+xEYXAEFwMH1dXQClRFwoa5MqgRKoFICS5cuTStWrOgRc6wIHItLNNq2bduyIlL3xSfyrhxcKZQKBNvbYiyxiEsUZbu3WDwiik7dWxSRxo0bV4FR1i/EV67oGyOMV7dPOOGEtNtuu3UN+JlnnskWbene9ttvvzRr1qz6oRgRAQKFC7ivKJxchwSaElAAbIrJRgTqL+BCXf8cGyGBXSHw4osvZsW9l156qav7KA4de+yxXU+IPfzww2nlypU9wjvmmGNSFAG1XSfQX16effbZtGjRoh4B7rPPPmn27Nm7Lmg9p/7yEkXChQsXpijyNtrw4cOzIuGIEVbVdgoRINC6gPuK1g0dgcBgCCgADoaqYxKooIALdQWTJmQCFRGIv1+WLVvWI9ooEkWx6LnnnsuKEd3b1KlT06GHHlqR0dU3zJ09mRmjvueee7JiU6P19qRZfXXKPbLensyMovv48eOzYnsUd7u3gw8+OO2///7lHpToCBCojID7isqkSqAdJqAA2GEJN1wCfQm4UDs3CBAYLIGYHy7mAnzhhRe6uojXEWNl2VgpeOPGjT2KSLF67MiRIwcrHMfNIfDUU0+l5cuX99ij8RpwFJm6t5kzZ6Zp06blOLpNB0sg5maM1Zy7v1Yfr93HqsDx/+PJ3EYbM2ZMNvefFZsHKxuOS6DzBNxXdF7OjbgaAgqA1ciTKAkMuoAL9aAT64BARwusX78+3X///T0M4hXf7k+QxYc7W222owF30eB7W5258Zpo9yLS6NGjs4KuItIuSlQv3fa2OnM8ARhP3XZvRxxxRNprr73KE7hICBCovID7isqn0ABqKqAAWNPEGhaBvAIu1HnFbE+AQF6BxYsXp3Xr1mW7RWHp6aefTrGwRKOgNGrUqBRP/yki5ZUd3O3Xrl2bPanZaBs2bMj+dc899+z6f/PmzUsTJ04c3EAcPZdAPP23YMGCtGXLlmy/KNjGgi377rtv189Y5CxypxEgQKCdAu4r2qnpWATaJ6AA2D5LRyJQaQEX6kqnT/AEKiEQrwBHQSIWIYhVSONPvH44efLkLP7DDz88TZo0qRJj6aQgI1/x9GYU/mIxl8aqzrFqbCweEYXAeIpsyJAhncRSibGuWbMmLVmyJIt19erV2Wv4EyZMyP5EvuKpzfgZ1AgQINBOAfcV7dR0LALtE1AAbJ+lIxGotIALdaXTJ3gClRGIxUAef/zxrIgUhaVo8RRgLAhy5JFHKiKVNJPPP/98No9jPEHWmMtx7NixWfE25o+Lf9fKJxA/Y/fee2/69a9/neUuWhT+onh70EEHpVj8QyNAgEC7BdxXtFvU8Qi0R0ABsD2OjkKg8gIu1JVPoQEQqIRAPEF2zTXX9Fj4IxYEedvb3patUKqVVyBW/b3vvvt6BHjUUUel+KOVVyDm2bz22mtTrOrcaLEgSPzMxROcGgECBNot4L6i3aKOR6A9AgqA7XF0FAKVF3ChrnwKDYBAJQRiHrIbb7yx62mkCDoKf6eeemqKRUG08go8+OCD2VOAMX9jtJirMZ7+mzNnTnmDFlm20M4NN9zQY/GPeOr2d37nd7rm38REgACBdgq4r2inpmMRaJ+AAmD7LB2JQKUFXKgrnT7BE6iUQDyJFEXAmJNs3LhxWfEvnkjSyi0Qr5PGYiDxSmm8RhqvbM+dO9dr2+VOWxbdxo0bsyLgpk2bsnk242cunrzVCBAgMBgC7isGQ9UxCbQuoADYuqEjEKiFgAt1LdJoEAQqIxAFiShGRBHCwh+VSVv29F9cL6JNmzZN8a86qUuxIEgU3+OJW0/bVihxQiVQQQH3FRVMmpA7QkABsCPSbJAE+hdwoe7fyBYECBAgQIAAAQIECOxcwH2FM4RAOQUUAMuZF1ERKFzAhbpwch0SIECAAAECBAgQqJ2A+4rapdSAaiKgAFiTRBoGgVYFXKhbFbQ/AQIECBAgQIAAAQLuK5wDBMopoABYzryIikDhAi7UhZPrkAABAgQIECBAgEDtBNxX1C6lBlQTAQXAmiTSMAi0KuBC3aqg/QkQIECAAAECBAgQcF/hHCBQTgEFwHLmRVQEChdwoS6cXIcECBAgQIAAAQIEaifgvqJ2KTWgmggoANYkkYZBoFUBF+pWBe1PgAABAgQIECBAgID7CucAgXIKKACWMy+iIlC4gAt14eQ6JECAAAECBAgQIFA7AfcVtUupAdVEQAGwJok0DAKtCrhQtypofwIECBAgQIAAAQIE3Fc4BwiUU0ABsJx5ERWBwgVcqAsn1yEBAgQIECBAgACB2gm4r6hdSg2oJgIKgDVJpGEQaFXAhbpVQfsTIECAAAECBAgQIOC+wjlAoJwCCoDlzIuoCBQu4EJdOLkOCRAgQIAAAQIECNROwH1F7VJqQDURUACsSSINg0CrAi7UrQranwABAgQIECBAgAAB9xXOAQLlFFAALGdeREWgcAEX6sLJdUiAAAECBAgQIECgdgLuK2qXUgOqiYACYE0SaRgEWhVwoW5V0P4ECBAgQIAAAQIECLivcA4QKKeAAmA58yIqAoULuFAXTq5DAgQIECBAgAABArUTcF9Ru5QaUE0EFABrkkjDINCqgAt1q4L2J0CAAAECBAgQIEDAfYVzgEA5BRQAy5kXUREoXMCFunByHRIgQIAAAQIECBConYD7itql1IBqIqAAWJNEGgaBVgVcqFsVtD8BAgQIECBAgAABAu4rnAMEyimgAFjOvIiKQOECLtSFk+uQAAECBAgQIECAQO0E3FfULqUGVBMBBcCaJNIwCLQq4ELdqqD9CRAgQIAAAQIECBBwX+EcIFBOAQXAcuZFVAQKF3ChLpxchwQIECBAgAABAgRqJ+C+onYpNaCaCCgA1iSRhkGgVQEX6lYF7U+AAAECBAgQIECAgPsK5wCBcgooAJYzL6IiULiAC3Xh5DokQIAAAQIECBAgUDsB9xW1S6kB1URAAbAmiTQMAq0KuFC3Kmh/AgQIECBAgAABAgTcVzgHCJRTQAGwnHkRFYHCBVyoCyfXIQECBAgQIECAAIHaCbivqF1KDagmAgqANUmkYRBoVcCFulVB+xMgQIAAAQIECBAg4L7COUCgnAIKgOXMi6gIFC7gQl04uQ4JECBAgAABAgQI1E7AfUXtUmpANRFQAKxJIg2DQKsCjz/+eJo+fXp2mLvuuivts88+rR7S/gQIECBAgAABAgQIdJjAypUr0/HHH5+N+rHHHksHHXRQhwkYLoFyCigAljMvoiJQuMCCBQu6LtSFd65DAgQIECBAgAABAgRqJxAPFsyfP7924zIgAlUUUACsYtbETGAQBBQABwHVIQkQIECAAAECBAh0sIACYAcn39BLJ6AAWLqUCIjArhHYsmVLWrx4cdb5pEmT0vDhw3dNIHptu0D31zC83t123toc0HlSm1QO6kCcJ4PKW5uDO09qk8pBHYjzZFB5d+nBX3rppbRmzZoshnnz5qVRo0bt0nh0ToDA/wooADoTCBAgUHMBEzHXPMFtGp7zpE2QNT+M86TmCW7T8JwnbYKs+WGcJzVPsOERIFA6AQXA0qVEQAQIEGivgF+w2+tZ16M5T+qa2faOy3nSXs+6Hs15UtfMtndczpP2ejoaAQIE+hNQAOxPyOcECBCouIBfsCuewILCd54UBF3xbpwnFU9gQeE7TwqCrng3zpOKJ1D4BAhUTkABsHIpEzABAgTyCfgFO59Xp27tPOnUzOcbt/Mkn1enbu086dTM5xu38ySfl60JECDQqoACYKuC9idAgEDJBfyCXfIElSQ850lJElHyMJwnJU9QScJznpQkESUPw3lS8gQJjwCB2gkoANYupQZEgACBngJ+wXZGNCPgPGlGyTbOE+dAMwLOk2aUbOM8cQ4QIECgWAEFwGK99UaAAIHCBfyCXTh5JTt0nlQybYUH7TwpnLySHTpPKpm2woN2nhROrkMCBDpcQAGww08AwydAoP4CfsGuf47bMULnSTsU638M50n9c9yOETpP2qFY/2M4T+qfYyMkQKBcAgqA5cqHaAgQIECAAAECBAgQIECAAAECBAi0VUABsK2cDkaAAAECBAgQIECAAAECBAgQIECgXAIKgOXKh2gIECBAgAABAgQIECBAgAABAgQItFVAAbCtnA5GgAABAgQIECBAgAABAgQIECBAoFwCCoDlyodoCBAgQIAAAQIECBAgQIAAAQIECLRVQAGwrZwORoAAAQIECBAgQIAAAQIECBAgQKBcAgqA5cqHaAgQIECAAAECBAgQIECAAAECBAi0VUABsK2cDkaAAAECBAgQIECAAAECBAgQIECgXAIKgOXKh2gIECBAgAABAgQIECBAgAABAgQItFVAAbCtnA5GgAABAgQIECBAgAABAgQIECBAoFwCCoDlyodoCBAgQIAAAQIECBAgQIAAAQIECLRVQAGwrZwORoAAgXIJbNq0KS1atCjddddd2Z8FCxakxx9/PAvywAMP7Pr3ZqNesmRJ+od/+Id04403phUrVqRx48alww47LJ199tnpQx/6UBo+fHizh7JdxQRe//rXp1tvvbWpqF9++eWmtrNRtQSefPLJ9NWvfjX9+Mc/TvHvI0eOTAcffHA688wz0wUXXJDGjBlTrQGJtm0CQ4YMaepYv/3bv51uueWWpra1UbUEVq9e3eN3jfh9Y926ddkgzjnnnHTFFVfkGtBPfvKTdNlll2XHXLNmTZo0aVI6/vjj0x/+4R+m0047LdexbEyAAAEC/yugAOhMIECAQI0FTjnllD5vtvIWAP/pn/4pXXjhhWnr1q29ip144onp2muvTRMnTqyxaOcOTQGwc3MfI4+iXxT6N27c2CvE7Nmz03XXXZdmzJjR2VAdOnoFwA5NfLdh7+wcyFMAjC+Qzj///Kz411eLIuA3v/nN1Ox5JzsECBAgoADoHCBAgEDtBboXbfbcc8903HHHpdtvvz3Fk4F5CoDXX399+r3f+720Y8eONGXKlPQXf/EX6YQTTkjr169Pl19+efrhD3+YWb7uda9LN998cxo6dGjtbTttgI1zKc6h73znOzsd/ty5czuNp9bjve+++9LJJ5+cXnjhheyp30984hMpvlzYvHlzuuqqq7K/A6Ideuih2VPGsY3WWQKNQswf/dEfZU+D9tXGjh2bpk+f3lk4HTLa7sW4adOmZW8H/PSnP81Gn6cAGL9ffPGLX8z2O/roo9PHPvaxNHPmzLR8+fL0N3/zN+mee+7JPovtvvCFL3SIrmESIECgPQKeAGyPo6MQIECglALxDXrcjMdrM/GqXrSDDjooPfHEE00XAF966aXsF/lly5al3XffPXulOH4Z797iycCvf/3r2f+68sor0/vf//5Seghq4AKNAqBX+AZuWNU9G08Sxyv+t912WzrppJN6DOVv//Zvs5v0aJ/97GfTpz71qaoOVdwDFGgUfz796U+nz3zmMwM8it2qLBC5nz9/fvYnviiM6UYaxd5mC4Dxe0b8vhG/d8SXTfH3zejRo7tY4kuIuAbdfffd2ZQjv/zlL1/1+0iVDcVOgACBwRZQABxsYccnQIBAyQTyFgB/8IMfZHN8RfvSl76ULr744leNKH4p33///dOGDRtSPP21ePHiko1aOK0KKAC2KljN/eOJvvgCIdp5552XvXb3yhZPBsfP/UMPPZTiSeNVq1alESNGVHPAoh6QgALggNhqvdNACoDdv0yMtxViapFXtjvuuKPrS4iPfOQj2bzEGgECBAg0J6AA2JyTrQgQIFAbgbwFwJj361//9V+z8a9cuTJNnTq1V4uYs+fSSy/NPnvkkUfSrFmzamNmICkpAHbmWdD9dby48Y5X/3trf/VXf5W9GhwtXvs79dRTOxOsQ0etANihid/JsPMWAGPuv3h1OBYYi+kE4guFvlp8/vDDD2dfPMaCROYCdP4RIECgOQEFwOacbEWAAIHaCOQtAB5wwAHpqaeeSjHJf7xu01f7/ve/n84666zs429/+9vpgx/8YG3MDEQBsFPPgZjX8+c//3mKudueeeaZPlf6jqd1Yp7AaPEKcLwKrHWOgAJg5+S62ZHmLQA++uijXa/z9vW0caPv+LyxSEjsZ17JZrNiOwIEOl1AAbDTzwDjJ0Cg4wTyFABjsZCY9y++mf/93//99KMf/ahPr5iY+5hjjsk+/7M/+7Nssm6tPgKNJwBjbqd4SiOKwS+++GLae++907HHHpve9a53pT/4gz/w6md9Up6NZNKkSWnt2rXpyCOPTPfee2+fo4vX//faa6/s8zPOOCNdffXVNZMwnJ0JNAqAc+bMyeZvi6eyYo62eGI8CsMf+MAHsoVjtM4RyFsAjJXG3/rWt2ZAX/nKV9JHP/rRPrHi84suuij7PPaLRco0AgQIEOhfQAGwfyNbECBAoFYCeQqAUeSJCbmjxdw8//iP/9inRRQJolgQ7T3veU+KJwK1+gh0X1G6r1HFzf+//du/dZ0z9Rl9Z45ky5YtXRPwv+Utb0nXXnvtTiFiwaHnn38+m7crngjUOkegmVcw3/GOd6Qrrrgi7bHHHp0D08EjzVsAjPlFYxXpaDH38Omnn96nXlxn4ouGaLFfPBGoESBAgED/AgqA/RvZggABArUSyFMA7L4AwMc//vEU83z11TZv3pzGjBmTfRzf4l9zzTW1cuv0wbzhDW9IQ4cOzZ60iKfBJk6cmJ577rlsVeiY+7ExX1M8IXjXXXeleHVcq7bAmjVr0uTJk7NBvPvd705XXXXVTgcUuV+9erWFgKqd9gFFH6+Iv/3tb09vfOMbs/nbohgc58+tt96aFWjWrVuXHTdWcL3hhhs8KTwg5WrtlLcA2H018f/6r/9Kp512Wp8Djs8bT/393d/9XfqTP/mTauGIlgABArtIQAFwF8HrlgABArtKIE8BMOb+ijnAov3lX/5l+tznPtdn2LES6LBhw7LP4ybwxhtv3FVD1O8gCMT8bxMmTOj1yPEq8LnnnpuuvPLK7PN3vvOd6Yc//OEgROGQRQrE3J+NQu773ve+9M///M877b4xX+jMmTPTsmXLigxVX7tYYGd/P8Sq0G9+85tTTBMR7ZJLLkl//Md/vIsj1v1gC+QtAH7+85/P5g+NdtNNN6X40qmv9rOf/Sz7PSNa7PfJT35ysIfj+AQIEKiFgAJgLdJoEAQIVFkg5ksaMWJEy0P4zne+k82z1F/LUwD0BGB/muX6vOhzqfvoo+958+Z1LRTzq1/9Ku23337lAhJNLgFPAObisvFOBGKhhphOYtu2benggw9OS5cu5VVzgbwFQE8A1vyEMDwCBEohoABYijQIggCBThYoumiTpwBoDsBqnZlFn0uv1IlXsWIBmGjf+973ulaFrpaiaBsC5gB0LrRTIKaGiAUboq1YsSLtu+++7Ty8Y5VMIG8B0ByAJUugcAgQqKWAAmAt02pQBAhUTSAKba22ffbZp6nJ1fMUAGMV4PHjx2ehWQW41QwVs3+R59IrR3TdddelWCwiWqwC3SgGFjNyvQyGgFWAB0O1M4/5sY99LMVTXtFintD58+d3JkSHjDpvATAWGXrb296W6VgFuENOEsMkQKBwAQXAwsl1SIAAgV0rkKcAGJE25vWaPXt21+udvY0gVv0966yzso++/e1vpw9+8IO7dqB6L1wgnu6Jp3wUAAunH7QOYw7QmAs0FnmIed6GDx/ea1+x6u/JJ5+cfRbzeH32s58dtJgcuJoC8YVAPCUcTQGwmjnME3XeAmC8Jh7zh0aLVX3jicC+Wnx+2WWXZR/HftOnT88Tmm0JECDQsQIKgB2begMnQKBTBfIWAKOoF8W9aCtXrkxTp07tle7888/PVoON9vDDD6dDDjmkU4k7dtzd53D6l3/5l3T22Wd3rEVdBv7nf/7n6Utf+lI2nDvuuCOdcMIJvQ4tVgj/xCc+kX12/fXXpze96U11ITCONgnE08HxlHA0c4S2CbXEh8lbAHz55ZfT/vvvn55++ulsJenGyvK9DTHmk4yn3WOe2VisaMiQISWWEBoBAgTKI6AAWJ5ciIQAAQKFCOQtAF599dXp3e9+dxZbFAIuvvjiV8X5wgsvZL+4b9iwIc2ZMyctWbKkkLHopDwCr1wE5Mknn0zTpk0rT4AiGZBAPKnVKPr19VROrAA+d+7c7IY9VopevXp1WxY2GlDAdiqlQDylFUWdWDF8xowZafny5aWMU1DtE8hbAIyeL7jggvSNb3wjCyKeKj7xxBNfFVB8EXHSSSdl/z+2/9rXvta+oB2JAAECNRdQAKx5gg2PAAECrxTIWwCMG7b4tj1u2Hbfffe0aNGirtd0Gse+8MIL09e//vXsP5tdjVhmqiNw8803p6OPPjor7vTW4hw599xz05VXXpl9HPM4/ed//md1BijSnQo0XgOO139vu+22rpvvxk7dn/z89Kc/nT7zmc8Q7SCBa665Jr35zW/u8/XwVatWZZ/fc889mcqXv/zldNFFF3WQUGcOdSAFwEceeSQdfvjhKb5QOu6447K/b0aPHt0FuHnz5hR/H919993Z+fbggw+mWbNmdSawURMgQGAAAgqAA0CzCwECBKoisGzZsvTf//3fPcL90z/907Ru3bo0ceLErvmYGhucdtppvb7iG69tRVEnnvSZMmVK+uQnP5mOP/747Im/yy+/PP37v/97dojf+q3fSrfccksaNmxYVYjE2YTABz7wgSzHb3/729PrX//6FPNBRjE4FolZuHBh9up343WtyZMnZ6+KmpOpCdiKbBKFm9e85jUpbr7HjRuX4rXgU045Jfvvq666qmsurnjtP27MGwsHVWR4wmxRIL5Uii8B3vWud2XF4fjvKNqsXbs2ux7EXG5xzWlcI2688cY0cuTIFnu1e9kE4neN+J2j0SL/jYWg4u+PD3/4wz1CjutKby2mEogpBaLFF08f//jHsy8d40vIv/7rv+4qJMd2X/ziF8vGIB4CBAiUWkABsNTpERwBAgRaE7jiiityLcYRT3pFgae3FoW+j3zkI2nbtm29fh4FwVgEYu+9924taHuXTiBu1BpP9+0suHnz5mUFoXgNXKuXQDzl9d73vjc9++yzvQ4sin/x83/wwQfXa+BG069A46ny/jaMAuG3vvWtPp8k7m9/n5dboNnrRGMUMedfby2+aIwnymMxsb7ahz70oeyLh6FDh5YbRXQECBAomYACYMkSIhwCBAi0U6CdBcCI64EHHkhf/epX00033ZRN1B0rg8brwbHYQ3y739cKoe0ck2MVLxBP98XCDjEnU7xytWbNmrR+/frsKZ54IjRe1Tr99NPTO9/5Tk9/Fp+ewnp84okn0iWXXJIV+mIRh9122y0r+J1xxhnZlwNjxowpLBYdlUfg1ltvTfEn/n6Iuf7iya8oFMfTojEPaKwOfc4557zq1fHyjEAk7RBoVwGwEUu8eRBFvgULFmTnVHy5OH/+/GyF4HilXCNAgACB/AIKgPnN7EGAAAECBAgQIECAAAECBAgQIECgMgIKgJVJlUAJECBAgAABAgQIECBAgAABAgQI5BdQAMxvZg8CBAgQIECAAAECBAgQIECAAAEClRFQAKxMqgRKgAABAgQIECBAgAABAgQIECBAIL+AAmB+M3sQIECAAAECBAgQIECAAAECBAgQqIyAAmBlUiVQAgQIECBAgAABAgQIECBAgAABAvkFFADzm9mDAAECBAgQIECAAAECBAgQIECAQGUEFAArkyqBEiBAgAABAgQIECBAgAABAgQIEMgvoACY38weBAgQIECAAAECBAgQIECAAAECBCojoABYmVQJlAABAgQIECBAgAABAgQIECBAgEB+AQXA/Gb2IECAAAECBAgQIECAAAECBAgQIFAZAQXAyqRKoAQIECBAgAABAgQIECBAgAABAgTyCygA5jezBwECBAgQIECAAAECBAgQIECAAIHKCCgAViZVAiVAgAABAgQIECBAgAABAgQIECCQX0ABML+ZPQgQIECAAAECBAgQIECAAAECBAhURkABsDKpEigBAgQIECBAgAABAgQIECBAgACB/AIKgPnN7EGAAAECBAgQIECAAAECBAgQIECgMgIKgJVJlUAJECBAgAABAkD9YKYAAAT2SURBVAQIECBAgAABAgQI5BdQAMxvZg8CBAgQIECAAAECBAgQIECAAAEClRFQAKxMqgRKgAABAgQIECBAgAABAgQIECBAIL+AAmB+M3sQIECAAAECBAgQIECAAAECBAgQqIyAAmBlUiVQAgQIECBAgAABAgQIECBAgAABAvkFFADzm9mDAAECBAgQIECAAAECBAgQIECAQGUEFAArkyqBEiBAgAABAgQIECBAgAABAgQIEMgvoACY38weBAgQIECAAAECBAgQIECAAAECBCojoABYmVQJlAABAgQIECBAgAABAgQIECBAgEB+AQXA/Gb2IECAAAECBAgQIECAAAECBAgQIFAZAQXAyqRKoAQIECBAgAABAgQIECBAgAABAgTyCygA5jezBwECBAgQIECAAAECBAgQIECAAIHKCCgAViZVAiVAgAABAgQIECBAgAABAgQIECCQX0ABML+ZPQgQIECAAAECBAgQIECAAAECBAhURkABsDKpEigBAgQIECBAgAABAgQIECBAgACB/AIKgPnN7EGAAAECBAgQIECAAAECBAgQIECgMgIKgJVJlUAJECBAgAABAgQIECBAgAABAgQI5BdQAMxvZg8CBAgQIECAAAECBAgQIECAAAEClRFQAKxMqgRKgAABAgQIECBAgAABAgQIECBAIL+AAmB+M3sQIECAAAECBAgQIECAAAECBAgQqIyAAmBlUiVQAgQIECBAgAABAgQIECBAgAABAvkFFADzm9mDAAECBAgQIECAAAECBAgQIECAQGUEFAArkyqBEiBAgAABAgQIECBAgAABAgQIEMgvoACY38weBAgQIECAAAECBAgQIECAAAECBCojoABYmVQJlAABAgQIECBAgAABAgQIECBAgEB+AQXA/Gb2IECAAAECBAgQIECAAAECBAgQIFAZAQXAyqRKoAQIECBAgAABAgQIECBAgAABAgTyCygA5jezBwECBAgQIECAAAECBAgQIECAAIHKCCgAViZVAiVAgAABAgQIECBAgAABAgQIECCQX0ABML+ZPQgQIECAAAECBAgQIECAAAECBAhURkABsDKpEigBAgQIECBAgAABAgQIECBAgACB/AIKgPnN7EGAAAECBAgQIECAAAECBAgQIECgMgIKgJVJlUAJECBAgAABAgQIECBAgAABAgQI5BdQAMxvZg8CBAgQIECAAAECBAgQIECAAAEClRFQAKxMqgRKgAABAgQIECBAgAABAgQIECBAIL+AAmB+M3sQIECAAAECBAgQIECAAAECBAgQqIyAAmBlUiVQAgQIECBAgAABAgQIECBAgAABAvkFFADzm9mDAAECBAgQIECAAAECBAgQIECAQGUEFAArkyqBEiBAgAABAgQIECBAgAABAgQIEMgvoACY38weBAgQIECAAAECBAgQIECAAAECBCojoABYmVQJlAABAgQIECBAgAABAgQIECBAgEB+AQXA/Gb2IECAAAECBAgQIECAAAECBAgQIFAZAQXAyqRKoAQIECBAgAABAgQIECBAgAABAgTyCygA5jezBwECBAgQIECAAAECBAgQIECAAIHKCCgAViZVAiVAgAABAgQIECBAgAABAgQIECCQX0ABML+ZPQgQIECAAAECBAgQIECAAAECBAhURkABsDKpEigBAgQIECBAgAABAgQIECBAgACB/AL/H7Y/gkRRCubIAAAAAElFTkSuQmCC\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "trap_positions_desired_rescaled = trap_positions_desired / lattice_spacing\n",
    "\n",
    "blockade_radius = 2.4\n",
    "\n",
    "vertex_positions = np.zeros((0, 2))\n",
    "\n",
    "for i in range(num_traps_target):\n",
    "    trap_pos = trap_positions_desired_rescaled[i]\n",
    "    \n",
    "    distances = np.sqrt(np.sum(np.abs(trap_positions_desired_rescaled - trap_pos)**2.0, axis=-1))\n",
    "    mask_close_to_2_separation = (1.95 < distances) * (distances < 2.05)\n",
    "    sites_close_to_2_separation = np.where(mask_close_to_2_separation)[0]\n",
    "    \n",
    "    for s in sites_close_to_2_separation:\n",
    "        avg_position = 0.5 * (trap_pos + trap_positions_desired_rescaled[s])\n",
    "        \n",
    "        distance_from_previously_found_vertices = np.sum(np.abs(avg_position - vertex_positions)**2.0, axis=-1)\n",
    "        if len(vertex_positions) == 0 or np.min(distance_from_previously_found_vertices) > 0.1:\n",
    "            vertex_positions = np.concatenate([vertex_positions, [avg_position]])\n",
    "        \n",
    "# # We might have some vertices which are duplicates. Let's get rid of them.\n",
    "\n",
    "def draw_kagome_backbone(alpha=0.2, extra_edge_size=1.0):\n",
    "    drawn_links = set({})\n",
    "    kagome_backbone_style_2 = {'c':'gray', 'alpha':alpha}\n",
    "    for i in range(len(vertex_positions)):\n",
    "        distance_to_vertices = np.sqrt(np.sum(np.abs(vertex_positions - vertex_positions[i])**2.0, axis=-1))\n",
    "        nearby_vertices = np.where((distance_to_vertices < 2.05) * (distance_to_vertices > 1.9))[0]\n",
    "        for b in nearby_vertices:\n",
    "            index_pair = tuple(np.sort([i, b]))\n",
    "            if index_pair in drawn_links: continue # Avoid redrawing the same link twice\n",
    "\n",
    "            drawn_links.add(index_pair)\n",
    "            plt.plot([vertex_positions[i, 0], vertex_positions[b, 0]],\n",
    "                        [vertex_positions[i, 1], vertex_positions[b, 1]], **kagome_backbone_style_2, zorder=-20)\n",
    "            \n",
    "        if len(nearby_vertices) == 2:\n",
    "            # We should draw two extra edges in the opposite direction from the actual edges\n",
    "            for b in nearby_vertices:\n",
    "                vec = extra_edge_size * (vertex_positions[b] - vertex_positions[i])\n",
    "                plt.plot([vertex_positions[i, 0], vertex_positions[i, 0] - vec[0]],\n",
    "                          [vertex_positions[i, 1], vertex_positions[i, 1] - vec[1]], **kagome_backbone_style_2, zorder=-20)\n",
    "                \n",
    "        elif len(nearby_vertices) == 3:\n",
    "            # We should draw one extra edge in the opposite direction from one of the existing edges\n",
    "            avg_vec = extra_edge_size * (np.sum(vertex_positions[nearby_vertices] - vertex_positions[i], axis=0))\n",
    "            plt.plot([vertex_positions[i, 0], vertex_positions[i, 0] - avg_vec[0]],\n",
    "                      [vertex_positions[i, 1], vertex_positions[i, 1] - avg_vec[1]], **kagome_backbone_style_2, zorder=-20)\n",
    "                \n",
    "            \n",
    "\n",
    "\n",
    "plt.figure()\n",
    "draw_kagome_backbone(alpha=0.5, extra_edge_size=1.0)\n",
    "plt.scatter(trap_positions_desired_rescaled[:, 0], trap_positions_desired_rescaled[:, 1])\n",
    "plt.scatter(vertex_positions[:, 0], vertex_positions[:, 1])\n",
    "plt.gca().set_aspect(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Calculate vertex values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "vertex_associated_atom_indices = []\n",
    "for i in range(len(vertex_positions)):\n",
    "    pos = vertex_positions[i]\n",
    "    distance_to_traps = np.sqrt(np.sum(np.abs(trap_positions_desired_rescaled - pos)**2.0, axis=-1))\n",
    "    mask_traps_touching_vertices = distance_to_traps < 1.1\n",
    "    trap_indices_touching_vertices = np.where(mask_traps_touching_vertices)[0]\n",
    "    \n",
    "    vertex_associated_atom_indices.append(trap_indices_touching_vertices)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(99, 10, 10800)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_vertex_values = []\n",
    "for i in range(len(vertex_positions)):\n",
    "    # Add value for each atom touching this vertex for all repetitions / parameters.\n",
    "    all_vertex_values.append(\n",
    "        np.sum([ryd_this_param[vertex_associated_atom_indices[i][z]] for z in range(4)], axis=0)\n",
    "    )\n",
    "    \n",
    "all_vertex_values = np.array(all_vertex_values)\n",
    "all_vertex_values.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "vertex_values_to_use = all_vertex_values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "    if (this.ratio !== 1) {\n",
       "        fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n",
       "    }\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    var resizeObserver = new ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    resizeObserver.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.one(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "(0.0, 1.0)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Group all vertex values together for each parameter.\n",
    "\n",
    "flattened_all_vertex_values = [\n",
    "    np.ndarray.flatten(vertex_values_to_use[:, p, relevant_reps_per_param[p]]) for p in range(num_params)\n",
    "]\n",
    "\n",
    "occurrences = np.array([\n",
    "    [np.sum(flattened_all_vertex_values[p] == i) for i in range(5)] for p in range(num_params)\n",
    "]).T\n",
    "\n",
    "num_realizations = np.sum(occurrences, axis=0)\n",
    "probabilities = occurrences / num_realizations\n",
    "confints = proportion_confint(occurrences, num_realizations, alpha=0.32, method='beta')\n",
    "yerr = [probabilities - confints[0], confints[1] - probabilities]\n",
    "\n",
    "np.savez(\"VertexWeightDistributions.npz\",\n",
    "        delta_Omega=delta_Omega,\n",
    "        probabilities=probabilities,\n",
    "        probabilities_err=yerr)\n",
    "\n",
    "plt.figure()\n",
    "for i in range(4):\n",
    "    plt.errorbar(delta_Omega, probabilities[i], yerr=[yerr[0][i], yerr[1][i]],\n",
    "                 label='Vertex: %d' %i, marker='o')\n",
    "    \n",
    "plt.axhline(0.8)\n",
    "plt.axhline(0.1)\n",
    "    \n",
    "# plt.plot(delta_Omega, probabilities[:, 0] + probabilities[:, 1], label='No violations', c='black', ls='dotted')\n",
    "plt.legend()\n",
    "plt.xlabel(\"$\\Delta / \\Omega$\", fontsize=18)\n",
    "plt.ylabel(\"Probability\", fontsize=18)\n",
    "plt.xticks(fontsize=13)\n",
    "plt.yticks(fontsize=13)\n",
    "plt.ylim(0, 1.0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "    if (this.ratio !== 1) {\n",
       "        fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n",
       "    }\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    var resizeObserver = new ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    resizeObserver.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.one(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
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\" width=\"500\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(5,3.5))\n",
    "plt.errorbar(delta_Omega, probabilities[0], yerr=[yerr[0][0], yerr[1][0]],\n",
    "             label='Monomers', marker='o', c='xkcd:pumpkin', \n",
    "             markersize=7, markerfacecolor='xkcd:light peach', markeredgewidth=1.5, markeredgecolor='xkcd:pumpkin')\n",
    "plt.errorbar(delta_Omega, probabilities[1], yerr=[yerr[0][1], yerr[1][1]],\n",
    "             label='Dimers', marker='o', c='xkcd:prussian blue', markersize=7, \n",
    "             markerfacecolor='xkcd:cool blue', markeredgewidth=1.5, markeredgecolor='xkcd:prussian blue')\n",
    "plt.errorbar(delta_Omega, probabilities[2], yerr=[yerr[0][2], yerr[1][2]],\n",
    "             label='Double-dimers', marker='o', c='xkcd:evergreen', markersize=7, \n",
    "             markerfacecolor='xkcd:green', markeredgewidth=1.5, markeredgecolor='xkcd:evergreen')\n",
    "    \n",
    "\n",
    "plt.xlabel(\"$\\Delta / \\Omega$\", fontsize=14)\n",
    "plt.ylabel(\"Probability\", fontsize=14)\n",
    "plt.xticks(fontsize=11)\n",
    "plt.yticks(fontsize=11)\n",
    "plt.ylim(0, 1.0)\n",
    "\n",
    "plt.subplots_adjust(left=0.2, right=0.95, top=0.95, bottom=0.17)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "    if (this.ratio !== 1) {\n",
       "        fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n",
       "    }\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    var resizeObserver = new ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    resizeObserver.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.one(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "param_index = 5\n",
    "good_rep_indices = np.where(relevant_reps_per_param[param_index])[0]\n",
    "\n",
    "rep = good_rep_indices[1]\n",
    "plt.title(\"Param %d, Rep %d\" %(param_index, rep))\n",
    "\n",
    "draw_kagome_backbone(0.8)\n",
    "\n",
    "plt.scatter(trap_positions_desired_rescaled[:, 0], trap_positions_desired_rescaled[:, 1], edgecolor='black', s=25,\n",
    "    c=ryd_this_param[:, param_index, rep], cmap='OrRd')\n",
    "\n",
    "plt.scatter(vertex_positions[:, 0], vertex_positions[:, 1], edgecolor='black', s=100,\n",
    "    c=vertex_values_to_use[:, param_index, rep], cmap='copper', vmin=0, vmax=1.)\n",
    "plt.xticks([]);\n",
    "plt.yticks([]);\n",
    "plt.gca().set_aspect(1)\n",
    "plt.show()\n",
    "# plt.savefig(\"Snapshots.pdf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "    if (this.ratio !== 1) {\n",
       "        fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n",
       "    }\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    var resizeObserver = new ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    resizeObserver.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.one(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x7f80f68660d0>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "center_vertex_index = 50\n",
    "param_index = 5\n",
    "color_minmax = 0.08\n",
    "\n",
    "# Compute correlations for vertices, treating all vertices as either value 0 (monomer) or 1 (at least one dimer)\n",
    "truncated_vertex_values = np.copy(vertex_values_to_use)\n",
    "# truncated_vertex_values[truncated_vertex_values > 1] = 1\n",
    "\n",
    "\n",
    "ni_nj = np.mean(truncated_vertex_values[center_vertex_index, param_index, relevant_reps_per_param[param_index]] * \n",
    "                truncated_vertex_values[:, param_index, relevant_reps_per_param[param_index]], axis=-1)\n",
    "ni = np.mean(truncated_vertex_values[:, param_index, relevant_reps_per_param[param_index]], axis=-1)\n",
    "\n",
    "g2 = ni_nj - (ni * ni[center_vertex_index])\n",
    "\n",
    "plt.figure()\n",
    "\n",
    "np.savez(\"VertexCorrelations.npz\",\n",
    "        vertex_positions=vertex_positions,\n",
    "        g2 = g2,)\n",
    "\n",
    "draw_kagome_backbone(alpha=0.3)\n",
    "\n",
    "plt.scatter(vertex_positions[:, 0], vertex_positions[:, 1], \n",
    "            s=100, edgecolor='black',\n",
    "            c=g2,\n",
    "            vmin=-color_minmax, vmax=color_minmax,\n",
    "            cmap='bwr')\n",
    "plt.gca().set_aspect(1)\n",
    "plt.colorbar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "    if (this.ratio !== 1) {\n",
       "        fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n",
       "    }\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    var resizeObserver = new ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    resizeObserver.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.one(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x7f80f9a0b070>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.figure()\n",
    "plt.scatter(trap_positions_desired_rescaled[:, 0], trap_positions_desired_rescaled[:, 1], s=50, edgecolor='black',\n",
    "            c=np.mean(ryd_this_param[:, 4, :], axis=-1),\n",
    "            vmin=0, vmax=0.5,\n",
    "            cmap='hot')\n",
    "plt.colorbar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "    if (this.ratio !== 1) {\n",
       "        fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n",
       "    }\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    var resizeObserver = new ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    resizeObserver.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.one(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x7f80f9aa8d30>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "center_trap_index = 109\n",
    "param_index = -3\n",
    "ni_nj = np.mean(ryd_this_param[center_trap_index, param_index, relevant_reps_per_param[param_index]] * \n",
    "                ryd_this_param[:, param_index, relevant_reps_per_param[param_index]], axis=-1)\n",
    "ni = np.mean(ryd_this_param[:, param_index, relevant_reps_per_param[param_index]], axis=-1)\n",
    "\n",
    "g2 = ni_nj - (ni * ni[center_trap_index])\n",
    "\n",
    "plt.figure()\n",
    "np.savez(\"RydbergCorrelations.npz\",\n",
    "        trap_positions=trap_positions_desired_rescaled,\n",
    "         g2=g2\n",
    "        )\n",
    "draw_kagome_backbone(alpha=0.5)\n",
    "plt.scatter(trap_positions_desired_rescaled[:, 0], trap_positions_desired_rescaled[:, 1], s=50, edgecolor='black',\n",
    "            c=g2,\n",
    "            vmin=-0.25, vmax=0.25,\n",
    "            cmap='bwr')\n",
    "plt.gca().set_aspect(1)\n",
    "plt.colorbar()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Z Parity on saved loops"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "### load saved loops\n",
    "\n",
    "star_all = np.load('LOOPS/large_nohole/star_all.npz')['star_all']\n",
    "star2_all = np.load('LOOPS/large_nohole/star2_all.npz')['star2_all']\n",
    "star3_all = np.load('LOOPS/large_nohole/star3_all.npz')['star3_all']\n",
    "star3line_all = np.load('LOOPS/large_nohole/star3line_all.npz')['star3line_all']\n",
    "star4_all = np.load('LOOPS/large_nohole/star4_all.npz')['star4_all']\n",
    "star5_all = np.load('LOOPS/large_nohole/star5_all.npz')['star5_all']\n",
    "star6_all = np.load('LOOPS/large_nohole/star6_all.npz')['star6_all']\n",
    "star_noboundaries = np.load('LOOPS/large_nohole/star_noboundaries.npz')['star_noboundaries']\n",
    "star2_noboundaries = np.load('LOOPS/large_nohole/star2_noboundaries.npz')['star2_noboundaries']\n",
    "star3_noboundaries = np.load('LOOPS/large_nohole/star3_noboundaries.npz')['star3_noboundaries']\n",
    "star3line_noboundaries = np.load('LOOPS/large_nohole/star3line_noboundaries.npz')['star3line_noboundaries']\n",
    "star4_noboundaries = np.load('LOOPS/large_nohole/star4_noboundaries.npz')['star4_noboundaries']\n",
    "star5_noboundaries = np.load('LOOPS/large_nohole/star5_noboundaries.npz')['star5_noboundaries']\n",
    "halfstar_all = np.load('LOOPS/large_nohole/halfstar_all.npz')['halfstar_all']\n",
    "halfstar2_all = np.load('LOOPS/large_nohole/halfstar2_all.npz')['halfstar2_all']\n",
    "halfstar4_all = np.load('LOOPS/large_nohole/halfstar4_all.npz')['halfstar4_all']\n",
    "halfstar6_all = np.load('LOOPS/large_nohole/halfstar6_all.npz')['halfstar6_all']\n",
    "halfstar3line_all = np.load('LOOPS/large_nohole/halfstar3line_all.npz')['halfstar3line_all']\n",
    "halfstar_noboundaries = np.load('LOOPS/large_nohole/halfstar_noboundaries.npz')['halfstar_noboundaries']\n",
    "halfstar2_noboundaries = np.load('LOOPS/large_nohole/halfstar2_noboundaries.npz')['halfstar2_noboundaries']\n",
    "halfstar4_noboundaries = np.load('LOOPS/large_nohole/halfstar4_noboundaries.npz')['halfstar4_noboundaries']\n",
    "halfstar6_noboundaries = np.load('LOOPS/large_nohole/halfstar6_noboundaries.npz')['halfstar6_noboundaries']\n",
    "halfstar3line_noboundaries = np.load('LOOPS/large_nohole/halfstar3line_noboundaries.npz')['halfstar3line_noboundaries']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "[P_star, P_star_err] = parity_mean(star_all,ryd_this_param,relevant_reps_per_param)\n",
    "[P_2star, P_2star_err] = parity_mean(star2_all,ryd_this_param,relevant_reps_per_param)\n",
    "[P_3star, P_3star_err] = parity_mean(star3_all,ryd_this_param,relevant_reps_per_param)\n",
    "[P_4star, P_4star_err] = parity_mean(star4_all,ryd_this_param,relevant_reps_per_param)\n",
    "[P_6star, P_6star_err] = parity_mean(star6_all,ryd_this_param,relevant_reps_per_param)\n",
    "[P_5star, P_5star_err] = parity_mean(star5_all,ryd_this_param,relevant_reps_per_param)\n",
    "\n",
    "[P_star_noB, P_star_noB_err] = parity_mean(star_noboundaries,ryd_this_param,relevant_reps_per_param)\n",
    "[P_2star_noB, P_2star_noB_err] = parity_mean(star2_noboundaries,ryd_this_param,relevant_reps_per_param)\n",
    "[P_3star_noB, P_3star_noB_err] = parity_mean(star3_noboundaries,ryd_this_param,relevant_reps_per_param)\n",
    "[P_4star_noB, P_4star_noB_err] = parity_mean(star4_noboundaries,ryd_this_param,relevant_reps_per_param)\n",
    "[P_5star_noB, P_5star_noB_err] = parity_mean(star5_noboundaries,ryd_this_param,relevant_reps_per_param)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "    if (this.ratio !== 1) {\n",
       "        fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n",
       "    }\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    var resizeObserver = new ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    resizeObserver.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.one(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"500\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(5,3.5))\n",
    "plt.errorbar(delta_Omega, P_star, yerr=P_star_err, marker='o', c='xkcd:scarlet', markersize=7, \n",
    "         markerfacecolor='xkcd:salmon', markeredgewidth=1.5, markeredgecolor='xkcd:scarlet', label='star')\n",
    "plt.errorbar(delta_Omega, P_2star, yerr=P_2star_err, marker='o', c='xkcd:prussian blue', \n",
    "             markersize=7, markerfacecolor='xkcd:baby blue', markeredgewidth=1.5, markeredgecolor='xkcd:prussian blue', label='2-star')\n",
    "plt.errorbar(delta_Omega, P_3star, yerr=P_3star_err, marker='o', c='xkcd:dark grass green', \n",
    "             markersize=7, markerfacecolor='xkcd:pear', markeredgewidth=1.5, markeredgecolor='xkcd:dark grass green', label='3-star')\n",
    "plt.errorbar(delta_Omega, P_4star, yerr=P_4star_err, marker='o', c='xkcd:pumpkin', \n",
    "             markersize=7, markerfacecolor='xkcd:light peach', markeredgewidth=1.5, markeredgecolor='xkcd:pumpkin', label='4-star')\n",
    "# plt.errorbar(delta_Omega, P_5star, yerr=P_5star_err, marker='o', c='xkcd:gold', markersize=7, \n",
    "#              markerfacecolor='xkcd:light gold', markeredgewidth=1.5, markeredgecolor='xkcd:gold', label='5-star')\n",
    "plt.xlabel('$\\Delta/\\Omega$', fontsize=18)\n",
    "plt.ylabel(r'$\\langle Z \\rangle$', fontsize=18)\n",
    "plt.ylim(-0.05,0.15)\n",
    "plt.xticks(fontsize=13)\n",
    "plt.yticks(np.arange(-0.04,0.14,0.03),fontsize=13)\n",
    "# plt.legend()\n",
    "\n",
    "plt.axhline(y = 0, c='k', ls = '--',lw = 0.8)\n",
    "\n",
    "plt.subplots_adjust(left=0.2, right=0.95, top=0.95, bottom=0.17)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "    if (this.ratio !== 1) {\n",
       "        fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n",
       "    }\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    var resizeObserver = new ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    resizeObserver.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.one(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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sDmtB8WdffbZsh6GdujTsmVLDR48WDVq1PB9Y/zFF1/4vn0+9Gnbtq3vtWNVq1aNeoGempp6zDGLi4ttf5+SknLMdqNHj9Zll11W5mdWgX7kt/3Wg9+s/33iiSf6nshujWfdT29dFTBr1iybhzWY9QuKDz744LhFfQRL4O9q2sGMhgljIIAAAggggAACCCBguoBpdQAFeoQ79r333tN1112n/fv3BxzJeuXYp59+qqZNm5bbNtxv0I/3rXbAwH5t8NZbb+mKK64IWKAHO55VuD/44IOy7j0/3i8Fgh0rUDvTDmagfPk5AggggAACCCCAAAIImHclLQV6FHa19WT2e+65x/fqtcLCwjIjZmVl6ZprrtH999+v9PT0gDM6rUDfvn27nnzySd9l+gsWLFBRUVG5OWRmZuriiy/WLbfcolatWgXMNxoNKNCjocgYCCCAAAIIIIAAAggkl4BpdQAFehT3n1XITpkyxXc/9O7du1WvXj1lZ2f77tmO9TfIUUyj3KEOHjzoe9jdqlWrZN2Hb92Db13ib13qbl363rFjR7Vp0yaml7MfK0DTDma81pN5EEAAAQQQQAABBBBIZgHT6gAK9GTejcTuFzDtYLK0CCCAAAIIIIAAAgggEFjAtDqAAj3wmtMiCQRMO5hJQE6ICCCAAAIIIIAAAggkXMC0OoACPeFbigCiIWDawYyGCWMggAACCCCAAAIIIGC6gGl1AAW66TvWJfmZdjBdsmykiQACCCCAAAIIIIBARAKm1QEU6BFtBzo7RcC0g+kUV+JAAAEEEEAAAQQQQMDJAqbVARToTt5txBa0gGkHM+jEaYgAAggggAACCCCAgIsFTKsDKNBdvJlNSt20g2nS2pALAggggAACCCCAAAKxEjCtDqBAj9VOYdy4Cph2MOOKx2QIIIAAAggggAACCCSpgGl1AAV6km5EwrYLmHYwWV8EEEAAAQQQQAABBBAILGBaHUCBHnjNaZEEAqYdzCQgJ0QEEEAAAQQQQAABBBIuYFodQIGe8C1FANEQMO1gRsOEMRBAAAEEEEAAAQQQMF3AtDqAAt30HeuS/Ew7mC5ZNtJEAAEEEEAAAQQQQCAiAdPqAAr0iLYDnZ0iYNrBdIorcSCAAAIIIIAAAggg4GQB0+oACnQn7zZiC1rAtIMZdOI0RAABBBBAAAEEEEDAxQKm1QEU6C7ezCalbtrBNGltyAUBBJJfoKSgQDv+PUEHVq5VYd5OpWVWV8Xsxqox5CR509OTP0EyQAABBBBIWgHT6gAK9KTdigR+pIBpB5PVRQABBJwgsGfeQi2/faR2/neaVFJSNiSvV9UH5qjF8w+rSuf2TgiZGBBAAAEEXCZgWh1Age6yDWxquqYdTFPXibwQQCA5BHblztKii6/XwbXrgw64QuMGajfmVVXL6R50HxoigAACCCAQqYBpdQAFeqQ7gv6OEDDtYDoClSAQQMCVAhvfHaulV94mlZaGnr/Xo9ajX1TWZReG3pceCCCAAAIIhCFgWh1AgR7GJqCL8wRMO5jOEyYiBBBwg4CvOL/i1uOmmpKeqtSMNBXlF6q4oOi47Vq/PYoi3Q0bhhwRQAABBwiYVgdQoDtgUxFC5AKmHczIRRgBAQQQCE3Auqx9Tr9hZb4596amqG67RmrQJVtV6mX6B92zKU/r567U5kXrVFJUbJ/M41HXyZ+5/nJ3Hq4X2h6kNQIIIBCOgGl1AAV6OLuAPo4TMO1gOg6YgBBAwHiBqU17lLnnPLNJbbU9u6fSK2ccN/+Cffla9PkM7Vyz1dbGuie9z+qZxrsdK0EerufKZSdpBBBIkIBpdQAFeoI2EtNGV8C0gxldHUZDAAEEyhewCspZXU+1NbKK847D+8mb4g3IV1JcogUfTlbeUUV693nfqUrHtgH7m9KAh+uZspLkgQACySRgWh1AgZ5Mu49Yjytg2sFkqRFAAIF4CswddIF2Tpjqn9K6rD3n+tPK/eb86Pisb9JzXx1vu9y9+sl91eX7sfFMJWFz8XC9hNEzMQIIuFzAtDqAAt3lG9qU9E07mKasC3kggIDzBaz7pCdWyra95zyrU1O1Pr1byMEv/Xq2Ni5Yfbif16uB+1fKm54e8ljJ1IGH6yXTahErAgiYJmBaHUCBbtoOdWk+ph1Mly4jaSOAQAIEtn3xjX4cdoVt5u5XDLI9EC7YsKwHx816+wdb88b33KxaZ52i9Pp1VSGrrnHFOg/XC3Z30A4BBBCIjYBpdQAFemz2CaPGWcC0gxlnPqZDAAEXC6wb9Tct/8NDfgHrVWoDbh8Wtsh/X/is3Few+Qb2euVJTZU3LVWeCunyVqyolEoZSqlcWSlVT1BqtapKrV5VaTVrKK1WptJq11SFenWUVq+2KmTVU3q92vKmpoYdYzQ78nC9aGoyFgIIIBC6gGl1AAV66HuAHg4UMO1gOpCYkBBAwFCBlSOf05pHX/BnV6FqRfW54Yyws5368tc6uOdA2P1D6phyqNBPkzejgrwVM3zFfmqVykqp8muhX6O60qw/NTOVXre20urWUoV6dVWhYZZSa9WQ1xv4IXjHi4mH64W0WjRGAAEEYiJgWh1AgR6TbcKg8RYw7WDG24/5EEDAvQIJ+QbdSdwe6xv9FHnSrG/0Dxf6KZUrKeWE/xX6aZnVlFq9mq/It77Nt/6k162lVQ89qz0z5/mz4eF6TlpYYkEAAbcImFYHUKC7ZecanqdpB9Pw5SI9BBBwkECs70F3UKoxD4WH68WcmAkQQACBMgKm1QEU6GxyIwRMO5hGLApJIIBAUgjE+inu/Xf/rKJteTq4cZMKNm1VwaYtKty6Q4XbrT87VbRzl4p27Vbxnr0q3rtfxQcOqORAvkoOFqi0sFClRcW2J8w7GTWaD9fr8Pk7qjX0FCenS2wIIICAIwRMqwMo0B2xrQgiUgHTDmakHvRHAAEEQhFIhvegF+fnq2DjZhVs2KKD1n9u2fq/Qn/bDhXmWYX+bt+f4r37VLxvv0r271dJ/sFfC/0ilRYXSSWlobCE1DbaD9drOeoxNbz56pBioDECCCDgRgHT6gAKdDfuYgNzNu1gGrhEpIQAAg4WiMbDzuZ/OFk712y1Zdl93neq0rGtozIv2rtXBRutIn+Lr+Av3LJNBVaRv3WHiqxCf9fuX7/R/7XQt77RtxX6xVJp2UI/2g/Xa/LQ7coeeaej7AgGAQQQcKKAaXUABboTdxkxhSxg2sEMGYAOCCCAQIQCvC4sNMDVz/w/rbr3SX8nvkEPzY/WCCCAQLQETKsDKNCjtTMYJ6ECph3MhGIyOQIIuFJgV+4szek3rMy3w9aTyeu2baQGXbNVpV6m32bPpjytn7NSmxevU4l1n/iRH69HXSd9pmo53Y21jPXD9TKaNVbLvzyuWmf8xlhDEkMAAQSiIWBaHUCBHo1dwRgJFzDtYCYclAAQQMCVAhvfHaulV9x63Nytb4lTK6Sp6GChiguKjtuu9dujlHXZhUYbxvThekfIpVSrqnqXXqDsx+9SatWqRpuSHAIIIBCOgGl1AAV6OLuAPo4TMO1gOg6YgBBAwBUC+WvXK7dpj/Bz9XrUevSLxhfnh4Bi9XC9Yy6Ax6MqPTqr+ZP3KnNQv/DXiJ4IIICAYQKm1QEU6IZtULemY9rBdOs6kjcCCCRWYGaX32jv/MVhBVGhcQO1G/Oq0Ze1Hw0Tq4frBVqA1JqZyrryIjUdeYdSK1UK1JyfI4AAAkYLmFYHUKAbvV3dk5xpB9M9K0emCCDgFIHN//xMiy++3hZOamZ1Ve7cVrsmTjv2u8hTvKo+sI9avDDScU9rj5drtB+ul1anlio2a6zdM+Ye82nxtry8XlXr00PNn7nfVb8YidfaMg8CCCSHgGl1AAV6cuw7ogwgYNrBZMERQACBeAqUFBVpco02vneIH/np/MNHyjypj6z7rXd8M1H5q9aqYHue0mtmynqIWY1TB8qbnh7PUB03V6werle0e7dWPvSsNr871vd+90Afq7Cvf91lanrfLa5fk0BW/BwBBMwSMK0OoEA3a3+6NhvTDqZrF5LEEUAgIQKLr7jVVwge+al+cl91+d7+dwkJLgkmjfXD9bZ9/Z1WPfis9s5bGPhb9ZQUVR+YoxbPPaQqndsngR4hIoAAApEJmFYHUKBHth/o7RAB0w6mQ1gJAwEEXCCwf9lKTW/d31b4edJS1Xfzj0qrXs0FAtFJ0VekX3lb4AL6WNMF+XC9gh15Wnnvk9rywb9UvMd+tcOxhk1vUE8Nb7xSje68Xt7U1OgkyigIIICAwwRMqwMo0B22wQgnPAHTDmZ4CvRCAAEEQheY1maADvy03Nax2eN3q+l9x3/dWuizuKOHdbn7oouv18G164NOONyH62356EutfuR57Vv0U8C5PKmpyjx1oFo8+5Aqt2kZsD0NEEAAgWQSMK0OoEBPpt1HrMcVMO1gstQIIIBAPAQ2jB6jn35/h22q9AZZ6rtudjymN3YO6+nuy+94RDsn5sb84XoHN23Rirsf19aPv1LJ/gMBTSs0aahGt41Qg5uvktfrDdieBggggIDTBUyrAyjQnb7jiC8oAdMOZlBJ0wgBBBCIQMB68NukzNYqOZBvG6Xr9K9UrUeXCEam6yGBeD9cz7rMfs2TL+nAzysCLoInPU01z/iNWjz/kCo2axKwPQ0QQAABpwqYVgdQoDt1pxFXSAKmHcyQkqcxAgggEIbAwuEjtPWjL209a5wxWJ2+fC+M0ejiJIH8teu1/I+Patvn36j04MGAoWU0b6omd9+oelddzLfqAbVogAACThMwrQ6gQHfaDiOesARMO5hhIdAJAQQQCFJg78KlmtlxkK21p0K6+m1frNRKlYIchWZOFygpKdHGN97X2mdfUf7KtQHD9WZUUK1hp6n5sw8po2FWwPY0QAABBJwgYFodQIHuhF1FDBELmHYwIwZhAAQQQKAcgdwWvcsUbC3+/Kga3fp73AwVsJ7Wv+KPj2n7uB9UWlgYMMtKrVuoyQO3qt7vzg/YlgYIIIBAIgVMqwMo0BO5m5g7agKmHcyowTAQAgggcJTAulF/0/I/PGT724xmjZWzYhpWLhCwvlX/5aW/6Zc/v66D6zYEzNhbuZLqXDhUzZ9+QOl1agVsTwMEEEAg3gKm1QEU6PHeQcwXEwHTDmZMkBgUAQRcL1C0f78m12yr0oMFNovu875TlY5tXe/jNgDrVocVf3xUed9PUmlRccD0K3doo6Yj71Sdc08P2JYGCCCAQLwETKsDKNDjtXOYJ6YCph3MmGIxOAIIuFZgwVmXaftX39nyr33BULX/8HXXmpC4VFJUpLV/elnrX35LBRu3BCRJqXqC6l58nrKfuldp1asFbE8DBBBAIJYCptUBFOix3C2MHTcB0w5m3OCYCAEEXCOwa+Zczel1pi1fb8UM9c9bKm96umscSLR8gd2z5mvFXY9p56RpUnFJ+Y09HlXp2kHNHr9bNYecHDVa3+vp/j1BB1auVWHeTqVlVlfF7MaqMeQk9mrUlBkIAXMETKsDKNDN2ZuuzsS0g+nqxSR5BBCIicCURt1UsH6jbexWrz+r+r//v5jMx6DJLVCcn681T4zShtffV+HW7QGTSc2spnqX/1bNHr1TqSecELD9sRrsmbdQy28fqZ3/nSaVHOOXA16vqg/MUYvnH1aVzu3DmoNOCCBgnoBpdQAFunl71JUZmXYwXbmIJI0AAjETWP3kKK164Bnb+BVbtVDvJf+N2ZwMbI5A3uTpWnnPE9o9bbZUUlp+Yh6Pqvbuquyn7lfmgN5BIezKnaVFF1+vg2vXB9XealShcQO1G/OqquV0D7oPDRFAwEwB0+oACnQz96nrsjLtYLpuAUkYAQRiJlC4c5em1O2g0sKiw3N4POq1dJIqtcyO2bwMbJ6A9ZDBVQ89q01vfaCivF0BE0yrVUNZv/8/NX3oD0rJyDhm+43vjtXSK2+TSgMU/sfq7fWo9egXlXXZhQFjoQECCJgrYFodQIFu7l51VWamHUxXLR7JIoBATAXmDr5QO/8zxTaAXgmPAAAgAElEQVRH3UsvUNt3XorpvAxutsCObydq5f1Pa8/sBYGLa69X1fr1VPNnH1S1Hl38ML7i/IpbjwuVkp6q1Iw0FeUXqrjgiF8wHdWj9dujKNLN3m5kh0C5AqbVARTobHgjBEw7mEYsCkkggEDCBfL+O03zTjrPFkfKCZXVb8cSeVNTEx4fASS/gHWFxqoHntam9z9R8e49ARNKr1dH9a+/XNUH9ta8ky8oU9x7U1NUt10jNeiSrSr1Mv3j7dmUp/VzV2rzonUqOfqVcB6Puk7+jMvdA+rTAAEzBUyrAyjQzdynrsvKtIPpugUkYQQQiLpASUmJptbvrMIt22xjtx3zqur+dljU52NABLZ+Nl6rRz6nvfMXh4WR2aS22p7dU+mVj305vDVowb58Lfp8hnau2Wqbw7onvc/qmWHNSycEEEhuAdPqAAr05N6PRP+rgGkHk4VFAAEEIhVYcd9TWvv0X2zDVO7YVj3n2d+DHuk89EfgaIGCbdu14u4ntOXDz1Wyb39QQFZx3nF4P3lTvAHblxSXaMGHk5V3VJHefd53qtKxbcD+NEAAAbMETKsDKNDN2p+uzca0g+nahSRxBBCIioBVIE3J6iwVFx8ez+tRzsoZymjcICpzMAgCwQhsHvOpVj/+ovYvWXbc5tZl7TnXn1buN+dlfgmwL1+5r463Xe5e/eS+6vL92GDCog0CCBgkYFodQIFu0OZ0cyqmHUw3ryW5I4BA5AKz+52t3VNn2Qaqf93lavXKU5EPzggIhCGQv2GTVtz1mLZ+/JVKDxbYRsjq1FStT+8W8qhLv56tjQtWH/FLKK8G7l8pb3p6yGPRAQEEklfAtDqAAj159yKRHyFg2sFkcRFAAIFwBbZ9/Z1+HHqZrXtq9arqu22xvN7Alw+HOy/9EAhGYMtn47Xo3KtsTbtfMcj2QLhgxrHaWA+Om/X2D7bmHT5/R7WGnhLsELRDAAEDBEyrAyjQDdiUpCCZdjBZUwQQQCAcAevBcFNqtyvzjuoOn72tWmedGs6Q9EEgqgLrRv1Ny//wkH9M61VqA24P/6GF/33hM9sr2FqOekwNb746qjEzGAIIOFvAtDqAAt3Z+43oghQw7WAGmTbNEEAAAZvAz7c9qPUvvWn7uyo9u6j7tK+QQsARAitHPqc1j77gj6VC1Yrqc8MZYcc29eWvdXDPAX//Jg/druyRd4Y9Hh0RQCD5BEyrAyjQk28PEvExBEw7mCwyAgggEKpA/i8bldu0h1RScrhrild91s1RhXp1Qh2O9gjERIBv0GPCyqAIuFrAtDqAAt3V29mc5E07mOasDJkggEC8BGZ2G6K9c3+0TdfojuvU4tnDlxPHKxbmQeB4Atu++EY/DrvC9mPuQWe/IIBAJAKm1QEU6JHsBvo6RsC0g+kYWAJBAIGkENjy0ZdaNHyELda0WjXUZ9MCHgyXFCvoniBLCgo0sVK27UoPnuLunvUnUwRiIWBaHUCBHotdwphxFzDtYMYdkAkRQCBpBUqKijS5ZlsV79lry6HTt/9UjcH9kzYvAjdXYO6gC7RzwlR/grwH3dy1JjME4iFgWh1AgR6PXcMcMRcw7WDGHIwJEEDAGIElv79Dm0aPseVTrX8vdZ34qTE5kohZAnvmLdSsrva3CmQ2qa2Ow/vJmxL4VYAlxSWa/+Fk7Vyz1QbTfd53qtKxrVlYZIMAAgEFTKsDKNADLjkNkkHAtIOZDObEiAACiRfYv2KVpp/YTyot9QfjSU1Vn03zlV4jM/EBEgECxxGY2rSHDq5db/upVaS3Pbun0itnHNetYF++Fn0+o0xxXqFxA/VZPRNvBBBwoYBpdQAFugs3sYkpm3YwTVwjckIAgegLTG9/kvYv/tk2cNOH71Czh++I/mSMiEAUBXblztKcfsNsv1yyhrcud6/btpEadM1WlXqHf8m0Z1Oe1s9Zqc2L16mkqNgeicejrpM/U7Wc7lGMkKEQQCBZBEyrAyjQk2XnEWe5AqYdTJYbAQQQCCSw8Z0PtfTK22zN0rPqqO/6eYG68nMEHCGw8d2xWnrFrceNJSU9VakV0lR0sFDFBUXlxtz+09GqPew0R+RFEAggEF8B0+oACvT47h9mi5GAaQczRkwMiwAChghYT8KeVKONSvYfsGXUddJnqta3hyFZkoYbBHxFuvWLpiNu0wgr7xTv/75F79UtrO50QgCB5BUwrQ6gQE/evUjkRwiYdjBZXAQQQKA8gUW/u0FbPviXrUmNISep07h/AIdA0glYl7svuvj6Mvekl5uI12t7VZvV1pOerp6L/qNKzZslnQEBI4BA+AKm1QEU6OHvBXo6SMC0g+kgWkJBAAGHCexd9JNmdjxZOvxcOHnS09Rv2yKlnnCCw6IlHASCF7Ce7r78jke0c2JumeLbN0qKV9UH9lGLF0aqQv26mpbdW8V799kmSDmhsnqvnKb0WjWDn5iWCCCQ1AKm1QEU6Em9HQn+kIBpB5OVRQABBI4nMO3EPjqwfLXtx82ffUiN77gONASMELBu4djxzUTlr1qrgu15Sq+ZqYxmjVXj1IHypqf7c9y/bKVmdBik0oICW95pdWr5ivTUSpWM8CAJBBAoX8C0OoACnR1vhIBpB9OIRSEJBBCIusAvr7ylZTfdbxu3QpOG6rNqRtTnYkAEkkHA9zT4/ueU+ca9Yotm6rl0krzWpfB8EEDAaAHT6gAKdKO3q3uSM+1gumflyBQBBIIVKM7P9z0YrjT/oK1L9znfqErn9sEOQzsEjBPY+tl4LTzvKtttH1aSVXO6qduUL4zLl4QQQMAuYFodQIHODjdCwLSDacSikAQCCERV4MdzrtS2z/9tG7PWOaerwydvRnUeBkMgGQV+efUdLbvx3jKhc0aScTWJGYHQBEyrAyjQQ1t/WjtUwLSD6VBmwkIAgQQJ7J41X7N7nm6b3ZtRQf12LFFKRkaComJaBJwlsPKBp7XmyZfKBNXgpqt04kuPOytYokEAgagJmFYHUKBHbWswUCIFTDuYibRkbgQQcJ7A1CbddXDdBltgJ776tBpce5nzgiUiBBIosPiKW7X53bFlIsh++n41uevGBEbG1AggECsB0+oACvRY7RTGjauAaQczrnhMhgACjhZY8+wrWnm3/ds/6wFYvX+e4ui4CQ6BRAnMO+W3yvt+Upnp27z7F9W75PxEhcW8CCAQIwHT6gAK9BhtFIaNr4BpBzO+esyGAAJOFSjavVuT63RQaUHh4RA9HvVcOEGV27R0atjEhUBCBUpKSjSryyna9+MSexwejzp984FqDO6f0PiYHAEEoitgWh1AgR7d/cFoCRIw7WAmiJFpEUDAYQLzTr1Ied/91xZVnd+dq3bvv+ywSAkHAWcJWO9Sn9ayT5lbQzypqeo2a7yqdGzrrICJBgEEwhYwrQ6gQA97K9DRSQKmHUwn2RILAggkRiBv8nTNG3CubXJv5Urqv32xvOnpiQmKWRFIIgHrCpTcZr1UlLfLfo4qZqjXT1OU0TAribIhVAQQOJ6AaXUABTp73QgB0w6mEYtCEgggEJHAlPqdVbBpi20M7qGNiJTOLhTI/2Wjprfqq5ID+bbsUzOrKWfVdKVWrepCFVJGwCwB0+oACnSz9qdrszHtYLp2IUkcAQR8AisfflZrHvuzTaNyu1bq+eN/EEIAgRAF9ixYrNndT1NpUZGtZ4WGWeq9PJcrUkL0pDkCThMwrQ6gQHfaDiOesARMO5hhIdAJAQSMECjYkaep9TqqtKj4cD4ej3ovn6qKzZoYkSNJIBBvgR3fT9L8Uy+SSkvtv/hq31rd530nr9cb75CYDwEEoiRgWh1AgR6ljcEwiRUw7WAmVpPZEUAgkQJzBpyrXZOn20LIuub/1Pq1ZxMZFnMjkPQCm/7xsZZccnOZPDIH91fnb/+Z9PmRAAJuFTCtDqBAd+tONixv0w6mYctDOgggEKTAjm8nav6Qi22tU6pWUb8dS/iGL0hDmiFQnsCaP72slfc8UaZJ3UsvUNt3XgIPAQSSUMC0OoACPQk3ISGXFTDtYLLGCCDgPgHr3c1T6nZQ0fY8W/LtPnpDdc47030gZIxAjAR+vu1BrX/pzTKjN7nvFmU/fk+MZmVYBBCIlYBpdQAFeqx2CuPGVcC0gxlXPCZDAAFHCCy78xH98sJrtliqdOuo7jPHOyI+gkDAJIGFF16jrR9/VSallv/vCTW84UqTUiUXBIwXMK0OoEA3fsu6I0HTDqY7Vo0sEUDgkED+hk3KbdxdKik5jOL1KmftLGXUrwcUAgjEQGB237O0O3e2fWSP1O6jN1Xn3NNjMCNDIoBALARMqwMo0GOxSxgz7gKmHcy4AzIhAggkVGBWz9O1Z9Z8WwwNb/29Wv750YTGxeQImCxg3VYyo01/HVi2yp6m16uuk/6lajndTU6f3BAwRsC0OoACPYpbc8eOHZoyZYqsTbJ7925lZWUpOztbOTk5SklJieJMzhlq/fr1mjFjhqz/3L9/vxo0aKBWrVqpe/f4/p+aaQfTOStMJAggEGuBrZ+N18Jzr7JNk1qjuvpuWciD4WKNz/iuFyjOz1du054q3LLNZuFJT1PPH/+jSi2zXW8EAAJOFzCtDqBAj8KO+/nnn3XPPffoq6++UkFBQZkRrUJ9xIgRuu+++5Senh6FGY8/xMGDBzV37lzNnDnTVzhbf5YtW6bSI977eeR/DzcYa9wHHnhA33//vazfQB/9ad68uW655RbdfPPN8ng84U4TdD/TDmbQidMQAQSSWsD65+fkmm1UvGuPLY+O4/6umkNOTurcCB6BZBEo2LZd07J7q3jvPlvIKSdUVu/luUqvUytZUiFOBFwpYFodQIEe4TZ+//33dd1112nfPvs/1I81bJcuXfTJJ5+oadOmEc5atvvf//53/fnPf9aCBQtUWFhY7viRFuh/+tOfdP/996uoqChgHoMHD9aHH36oGjVqBGwbSQPTDmYkFvRFAIHkEfjpuru04fX3bQFX7dND3SZ/ljxJECkCBgjsX7FKM9qdrNKjvmhJq1NLvVdOU2qlSgZkSQoImClgWh1AgR7BPv3666911lln2b5BbtmypQYNGuQrSFesWKEvvvhCBw4c8M/Stm1b5ebmqmrVqhHMXLbrbbfdplGjRgU1ZiQF+muvveb7hcSRn86dO6tfv36qXLmylixZIsvlyOL95JNP1r///W+lpaUFFV84jUw7mOEY0AcBBJJL4MCadb5v7XTEFU6e1BT12TBP6bVqJlcyRIuAAQK7ps/WnH7DpGL7lYEZzZuq10+TueXEgDUmBTMFTKsDKNDD3KcbN2703Wu9Z8//Lku0LuN+7rnnZBXKXq/XP+rWrVs1fPhwTZgwwf93F110kcaMGRPmzMfudqwCPSMjQ506ddKqVau0ZcsWf8dwC/R58+apR48e/uK7QoUKGj16tH73u9/Zglq5cqWGDRumhQsX+v/eugXgqaeeimrORw5m2sGMGRQDI4CAYwRmdBqsfT8uscXT5P5blf3Y3Y6JkUAQcJvAti++0Y/nXGn7xZllULVXV3XL/dJtHOSLQFIImFYHUKCHue1uvPFGvfLKK/7ejz76qB588MFjjpafn6+uXbv6vl0+VMzPnj1b1iXv0fr88Y9/1LfffusroA/96dChg1JTU3XSSSdp4sSJERfoZ555pu/b8UOfd999V5deeukxU9i2bZvatWvn/8VAxYoVfVcUWPfjx+Jj2sGMhRFjIoCAcwQ2/eNjLbnkZltAaXVrqd/GBc4JkkgQcKnA+tfe1c/X31Mm+1rDTlOHT0e7VIW0EXCugGl1AAV6GHtt8+bNaty4sf+BcNYD0aziu7xLuH/44QdZ92Mf+px33nn6+OOPw5g99C7RKNCtB89Zv2Q49BkwYICt6D9WVNa361dffbX/R7fffruef/750BMIoodpBzOIlGmCAAJJKlBSVKTJma1VvG+/LYPOEz5R5oDeSZoVYSNglsDKB5/RmifK3jrY4MYrdeJfnjArWbJBIMkFTKsDKNDD2JCvv/66rr32Wn/PZ555RnfddVfAkdq0aaOlS5f62lmXn1vfMlv3bcf6E40C3XoC/ZGXqP/zn//0Xbpf3se6csD6xnznzp2+Zo0aNdLatWtjkq5pBzMmSAyKAAKOEFh82S3a/P5HtlgyB/dX52//6Yj4CAIBBP4nsOTq27XprQ/KcGQ/cY+a3HsLTAgg4BAB0+oACvQwNtbQoUN9r1Q79LEu3bbedx7oY10C//jjj/ubWU90P/fccwN1i/jn0SjQ27dvr0WLFvlisV4Vt2vXLt8vGQJ9rEvgrSfdH/rMmTMnqpf2HxrXtIMZyJWfI4BAcgrs+2m5ZrQdaH8wXFqa+m39UalRfnhocgoRNQLOEph32sXK++bwbYKHomv99ihlXXahs4IlGgRcKmBaHUCBHsZGrl69uq9AtT5169bVpk2bghpl3LhxOuOMM/xtrQe7Wa9Gi/Un0gI9Ly/P9pq0Xr16adq0aUGF/eqrr+qGG27wt33xxRd16623BtU3lEamHcxQcqctAggkj8C01v104OeVtoCzn7xXTe6x34+ePBkRKQJmC5SUlGh2t1O1d/5ie6IejzqN/4dqnDLQbACyQyAJBEyrAyjQQ9x0GzZsUIMGDfy9TjvtNFmFdzAfq5A/8iFpQ4YM0fjx44PpGlGbSAv0qVOnqm/fvv4YrNesWYV3MB+rkM/JyfE3tW4N+Otf/xpM15DamHYwQ0qexgggkBQC6994Xz9fa78dqkKj+uqzZlZSxE+QCLhVwHpuxLTmvXVw3QYbgfVaxG4zxqlK5/ZupSFvBBwhYFodQIEe4rY6+mFvI0aMkPVu8GA+1uvNrMvCCwoKfM2bNGmi1atXB9M1ojaRFuhHP+ztySef1L333htUTEf/QmPgwIG2V84FNUgQjUw7mEGkTBMEEEgigeL8fE2u0UYl+QdtUVv/cl+1e6ckyoRQEXCnQNHu3cpt1ktFef+7gvLQx5tRQb2WTlZG48Nf3rhTiKwRSJyAaXUABXqIe+m9997TZZdd5u/12GOP6YEHHgh6FOtedeu95NbHegVaYWFh0H3DbRhpgW7l+NBDD/mntwwuueSSoMKxLg2z3pdeVFTka2898X758uVB9Q2lkWkHM5TcaYsAAs4XWHj+77X108OvqbQirjn0FHX8/B3nB0+ECCDgE8j/ZaOmt+qrkgP5NpHU6lXVe+V0pVWvhhQCCCRAwLQ6gAI9xE109D3V1j3k1r3kwX46deqkBQsOv+f2wIEDQT1sLdjxj9Uu0gL97rvv1p/+9Cf/0J9++qnOOeecoEOqVq2adu/e7Wsfyj37QU8gybSDGUrutEUAAWcL7Jm3ULO6nmoL0lOhgvptX6TUSpWcHTzRIYCATWDvwqW+81z66xcPh36Y3iBLOSty5U1PRwwBBOIsYFodQIEe4gZ69tlnba9Uswp2657sYD/WA9ZmzJjhb75161bVqlUr2O5htYu0QL/xxhv1yiuv+Oe27rm37r0P9mMV5Vu2bPE1t14rt3fv3mC7+ttZB6+8z8aNG9WzZ09fk3Xr1qlhw4Yhz0EHBBBAIBYCuc16Kn+N/Z9hLV96Qg1vujIW0zEmAgjEWCDvh8mad8pvbW9j8P07TrtW6j7/e3m93hhHwPAIIHCkAAW6y/fD0Zd7v/nmm7rqqquCVhkwYIAmTZrkb2+9F9x6P3gsP5EW6FdffbWs+9APfb7//nsNGjQo6JAbN27sK5qtj/V/WsXFxUH3PdTQ4/EE3YcCPWgqGiKAQIwF1r7wmlbc+YhtlozsJspZnhvjmRkeAQRiKbB5zKda/H83lpmi+qB+6vLdh7GcmrERQOAoAQp0l28JvkGX76n18f4GnQLd5QeP9BFIQoGivXs1uVZ7lf76YFBfCh6px/wfdEL71kmYESEjgMCRAmuf/6tW/PHRMih1L7lAbd99CSwEEIiTAAV6nKCdOg33oEuJuAedS9ydeiKICwEEjicw/8xLtGPcD7Yf1xl+ttp9EP1XTbIKCCCQGIFlf3hIv4z6W5nJG999o5o/dX9igmJWBFwmQIHusgU/Ot2jn+L+6KOP6sEHHwxaxYSnuL/77ru69NJLg8rZeop7enq6/7J2nuIeFBuNEEAgyQV25c7SnL5n27LwVqqo/juW8BCpJF9bwkfgaIGFw0do60dfloHhWRPsFQTiI0CBHh9nx87Ce9ClUN6Dvn79etsD23gPumO3NoEhgEAUBaY07KKCDZttI7Z+8wVlXXlRFGdhKAQQcIrA7H7DtHvqTHs4Hqnd2DdU57wznRImcSBgpAAFupHLGnxS1tPC69ev7+8wZMgQjR8/PqgBNm3apKysLH9b6z5u637uWH8ifUhcbm6u+vTp4w/z2muv1V//GtwlmtOmTVNOTo6/r/XEe+s2gWh/TDuY0fZhPAQQiJ/Aqsf+rNUPP2ubsFKbluq1aGL8gmAmBBCIq4B1xeCMtgN04OeV9nm9XnWd+Kmq9e0R13iYDAE3CZhWB/CatTB2b/Xq1bVr1y5fzzp16mjzZvu3JMcb8uuvv9aZZx7+Lar1/nTrPeqx/kRaoO/cuVOZmZn+MK3XmU2fPj2osK3Xs1mvaTv0efHFF3XrrbcG1TeURqYdzFBypy0CCDhHoHDnLk2p08H+jmSPR71+nqxKzZs5J1AiQQCBqAsU5+drWnYvFWzaahvbk56mHvO/V+VWLaI+JwMigIBkWh1AgR7Grh46dKi++uorf8/ly5fLurc60OeBBx7QE0884W/2ySef6Nxzzw3ULeKfR1qgWwG0b99eixYt8sWSlpbm+wVFxYoVA8Z2ySWX6O9//7u/3Zw5c9SlS5eA/UJtYNrBDDV/2iOAgDME5p58vnZOtL9Crd4Vw9Vm9IvOCJAoEEAgpgIF27ZrWvMcFe/Za5snpXIl9V4xTel1asV0fgZHwI0CptUBFOhh7OI33nhDI0aM8Pd8+umndffddwccqXXr1vrpp5987TIyMrRt2zZVrlw5YL9IG0SjQL///vt9954f+nzwwQf67W9/W25o+fn5vkv6rW/grY/1vnfrve+x+Jh2MGNhxJgIIBBbgbwfJmveb4bb/6W8SmX1275E3tTU2E7O6Agg4BiB/StWaUb7k1V6sMAWU1rtmuq9arpSK1VyTKwEgoAJAqbVARToYexK65L2xo0bq+DXd9ta354vWbLE983y8T5HP1zuvPPO08cffxzG7KF3iUaBPnfuXHXt2tU/+YABAzRxYvn3U44ePVpXX321v8/tt9+u559/PvQEguhh2sEMImWaIICAgwSs+0+nZnVS4dbttqisV6pZr1bjgwAC7hLYNXOu5vQ5WyoutiWekd1EvX6eIq/X6y4QskUghgKm1QEU6GFulptuukkvv/yyv3d5r1uzvknu1q2bFi9e7Gvv8Xg0e/bs417qvXr1ajVrdvhexSZNmsj6u3A/0SjQrbmPvrS/vNetWVcHtGvXTlu2bPGFbV0Ov2LFCttD8sLN51j9TDuY0bRhLAQQiL3Ainue0No/Hf7/BGvGEzq3U48538Z+cmZAAAFHCmz78lv9OOwKqbTUFl+Vnl3UfdrhWyUdGTxBIZBEAqbVARToYW6+DRs2yLpkfc+ePf6i+7nnnpP14Lcjfyu6detWDR8+XBMmTPDPdNFFF2nMmDHHndmpBfq8efPUo0cPFRUV+WKvUKGC3nrrLV188cW2XFatWqWzzz5bCxcu9P/9Pffco6eeeipM7cDdTDuYgTOmBQIIOEWgYMs2TWnQxf5NmdernNUzldHw8Js7nBIvcSCAQPwE1r/xvn6+9q4yE9Y861R1/Ozt+AXCTAgYLGBaHUCBHsFmtR4UZxWi1qWNhz4tW7bU4MGDVaNGDVkPj/viiy904MAB/8/btm0r67VlVatWjXqBnnqcexyLj7q8KiUl5ZhzW5ekX3bZZeWKWK9Xu/76621tOnfurP79+6tSpUq+S/2tp9UfKuKthtY3+N988025twBEsAy+rqYdzEg96I8AAvETmJ0zVLunz7FN2ODGK3XiXw4/FDR+0TATAgg4TWDlyOe05tEXyoRV/7rL1eqV2H154TQH4kEgVgKm1QEU6BHulPfee0/Wu733798fcCSrkP3000/VtGnTctuG+w26del8JB/r2/Arrrgi4BDPPPOMrCfSH1mEH6/ToEGDNHbsWN8vLGL5Me1gxtKKsRFAIHoCvktYz77cNmBq9Wrqu20R95hGj5mREEh6gSW/v0ObRpe9ejL7iXvU5N5bkj4/EkAgkQKm1QEU6FHYTdaT2a1LuK1v1AsLC8uMaD3J/JprrpH1JPT09PSAMzq9QLcSsN6DbhXp1sPvjryC4FBy2dnZuuWWW3x/Iv3FQUAwvkEPhog2CCAQZQHrn31TarVT0c5dtpE7fP6Oag09JcqzMRwCCCS7wPwz/k87xv+nTBqt33pRWZfb3wCR7LkSPwLxFKBAj6d2ks21fft2TZkyxXe59e7du1WvXj1ZhWrfvn11vMvKkyzFMuGuX7/eV6xb/2ldyl+/fn2deOKJ6tmzZ1xTM+1gxhWPyRBAICyBn2+6V+tfecfWt2rvruo29cuwxqMTAgiYLWD9Um9299O0d97hZ/T4MvZ41PHr91VzyMlmA5AdAjESMK0O4Bv0GG0Uho2vgGkHM756zIYAAqEK5K9dr9zsXtIRzyBRSor6rp+r9Dq1Qh2O9ggg4BKBkqIiTWvZRwfX/GLL2JOaom4zxqlK5/YukSBNBKInYFodQIEevb3BSAkUMO1gJpCSqRFAIAiBmV1P0d55i2wtG999o5o/dX8QvWmCAAJuFijau1e5TXuqaMdOG4M3o4J6LZ2sjMYN3MxD7giELGBaHUCBHvIWoIMTBUw7mE40JiYEEPifwOZ/fqbFF9vfZpFWu6b6bJzPg+HYJAggEJRA/oZNmn5iX5XsP/ymH6tjSvM9RfkAACAASURBVLWqylk1XWnVqwU1Do0QQMC8tzlRoLOrjRCgQDdiGUkCAccLWJenTq7RRsV799li7fzdh8oc1M/x8RMgAgg4R2Dvop80q+spKi0ssgWVXr+uclZOlzeIBws7JxsiQSBxAqbVARToidtLzBxFAdMOZhRpGAoBBKIosOSq27Tp7Q9tI1Y/qY+6/PBRFGdhKAQQcItA3oSpmvebC6WSUlvKldqeqB4LfuCqHLdsBPKMSMC0OoACPaLtQGenCJh2MJ3iShwIIHBYYP+ylZreur9UevhfpD2pqeq75UcuR2WjIIBA2ALHum3GGoxf/oVNSkeXCZhWB1Cgu2wDm5quaQfT1HUiLwSSWWB62wHav3S5LYVmj96lpg/clsxpETsCCDhAYO0Lr2nFnY+UiaTO785Vu/dfdkCEhICAcwVMqwMo0J2714gsBAHTDmYIqdMUAQTiILDxrQ+09OrbbTNZ94n2/WVuHGZnCgQQcIPAsjsf0S8vvFYm1cZ33ajmT/OGCDfsAXIMT8C0OoACPbx9QC+HCZh2MB3GSzgIuFqgpKBAkzJbq+RAvs2ha+4Xqtarm6ttSB4BBKIrsOii67Tlw8/LDNpy1GNqePPV0Z2M0RAwRMC0OoAC3ZCN6fY0TDuYbl9P8kfASQILf3utto79whZSjdMHqdNX7zspTGJBAAFDBOYMOFe7Jk8vk027j95QnfPONCRL0kAgegKm1QEU6NHbG4yUQAHTDmYCKZkaAQSOENi7cKlmdhxkM/Gkp6vftoVKPeEErBBAAIGoC5SUlGhGu5N04Cf7My/k9arzhI+V2a9X1OdkQASSWcC0OoACPZl3I7H7BUw7mCwtAgg4QyC3RY7yV66xBdP8hZFqfNsIZwRIFAggYKRAcX6+pmX3VsGmLfZfEKalqceC71W5VQsj8yYpBMIRMK0OoEAPZxfQx3ECph1MxwETEAIuFPjlL29q2a0P2jLPaNpIOSvLXnrqQh5SRgCBGAsU7MjTtOxeKt691zaTt3Il9V42VRXq1fH/vfWsjB3/nqADK9eqMG+n0jKrq2J2Y9UYcpK86ekxjpThEUisgGl1AAV6YvcTs0dJwLSDGSUWhkEAgTAFivbv1+SabVV6sMA2Qvd536lKx7Zhjko3BBBAIDSBA6vWaHrbk1R68KCtY1rNTPVeM1MHfl6p5beP1M7/TpNKSsoO7vWq+sActXj+YVXp3D60yWmNQJIImFYHUKAnycYjzPIFTDuYrDcCCCRWYMHZl2v7l9/agqh9/plqP/aNxAbG7Agg4DqB3bPma3bOUKm42J57SkrZvytHp0LjBmo35lVVy+nuOkMSNlvAtDqAAt3s/eqa7Ew7mK5ZOBJFwIECu2bO1Zxe9icleytmqN/2xUrJyHBgxISEAAKmC2z7+jv9eNblUmlpZKl6PWo9+kVlXXZhZOPQGwEHCZhWB1CgO2hzEUr4AqYdzPAl6IkAApEKTG3cTQd/2Wgb5sTX/qQG11wS6dD0RwABBMIW2DB6jH76/R3l9k9JT1VqRpqK8gtVXFB03Lat3x5FkR72StDRaQKm1QEU6E7bYcQTloBpBzMsBDohgEDEAmueekkr73/aNk7FE5ur99JJEY/NAAgggEAkArtyZ2lO37PLDOFNTVHddo3UoEu2qtTL9P98z6Y8rZ+7UpsXrVNJ0VGXx3s86jr5My53j2RB6OsYAdPqAAp0x2wtAolEwLSDGYkFfRFA4PgC5T3puCQ/X5Nrd1BpYeHhATwe9Vw8kVcasakQQCDhAlOb9tDBtettcWQ2qa22Z/dUeuXj335TsC9fiz6foZ1rttr6Wvek91k9M+F5EQACkQqYVgdQoEe6I+jvCAHTDqYjUAkCAYME9sxbGPBJx6lVq6ho5y5b1nUvuUBt333JIAlSQQCBZBSw/hk2q+upZYrzjsP7yZviDZhSSXGJFnw4WXlHFem8mSIgHQ2SQMC0OoACPQk2HSEGFjDtYAbOmBYIIBCMgHVJ6KKLry/zrVMwfVMqV1K/vKXypqYG05w2CCCAQMwE5g66QDsnTPWPb13WnnP9aeV+c350MNY36bmvjrdd7l795L7q8v3YmMXNwAjEQ8C0OoACPR67hjliLmDawYw5GBMg4AKBje+O1dIrbwv7qcf1r7tUrV55xgVSpIgAAk4WsG7NmVgp2/ae86xOTdX69G4hh73069nauGD14X5erwbuXylvenrIY9EBAacImFYHUKA7ZWcRR0QCph3MiDDojAAC8hXnV9x6XAmedMwmQQCBZBHY9sU3+nHYFbZwu18xyPZAuGBzsR4cN+vtH2zNO3z+jmoNPSXYIWiHgOMETKsDKNAdt8UIKBwB0w5mOAb0QQCB/wn4nnTcb1iZb8550jE7BAEEklFg3ai/afkfHvKHbv2CccDtw8JO5b8vfGZ7BVvLUY+p4c1Xhz0eHRFItIBpdQAFeqJ3FPNHRcC0gxkVFAZBwKUCPOnYpQtP2ggYKrBy5HNa8+gL/uwqVK2oPjecEXa2U1/+Wgf3HPD3b/LQ7coeeWfY49ERgUQLmFYHUKAnekcxf1QETDuYUUFhEARcKMCTjl246KSMgOECfINu+AKTXsQCptUBFOgRbwkGcIKAaQfTCabEgEAyCvCk42RcNWJGAIHyBLgHnf2BQPkCptUBFOjseCMETDuYRiwKSSAQZwGedBxncKZDAIG4CPDPtrgwM0kSC5hWB1CgJ/FmJPTDAqYdTNYWAQRCF+BbptDN6IEAAskhwNVBybFORJkYAdPqAAr0xOwjZo2ygGkHM8o8DIeAKwS4T9MVy0ySCLhSIBrP15j/4WTtXLPV5td93neq0rGtK01J2hwB0+oACnRz9qarMzHtYLp6MUkegTAFeNJxmHB0QwCBpBDgDRVJsUwEmQAB0+oACvQEbCKmjL6AaQcz+kKMiID5AnyDbv4akyECbhbYlTtLc/oNk0pLbQze1BTVbdtIDbpmq0q9TP/P9mzK0/o5K7V58TqVFBWXoevw5XuqdcZgN5OSuyECptUBFOiGbEy3p2HawXT7epI/AuEIcA96OGr0QQCBZBLY+O5YLb3i1uOGnJKeqtQKaSo6WKjigqJyU0urU0s5q2coJSMjmQiIFYEyAqbVARTobHIjBEw7mEYsCkkgEGcBnnQcZ3CmQwCBhAj4ivQrbyvzTXo4wVRs1UI9F02Q1+sNpzt9EHCEgGl1AAW6I7YVQUQqYNrBjNSD/gi4VYAnHbt15ckbAXcJWJe7L7r4eh1cuz7oxNNq11Th1u1l2mcO7q/O3/4z6HFoiIDTBEyrAyjQnbbDiCcsAdMOZlgIdEIAAfGkYzYBAgi4ScD6Z97yOx7Rzom5UklJ2dRTvKo+sI9avDDS97T2X159R8tuvLdMu6yrf6fWbzznJjpyNUjAtDqAAt2gzenmVEw7mG5eS3JHIFIBnnQcqSD9EUAg2QSsW3x2fDNR+avWqmB7ntJrZiqjWWPVOHWgvOnptnSW3/WY1j33apkUs5+4R03uvSXZUideBGRaHUCBzqY2QsC0g2nEopAEAgkSiOqTjr0edZ30marldE9QNkyLAAIIRF9g4YXXaOvHX5UZuO2YV1X3t8OiPyEjIhBDAdPqAAr0GG4Who6fgGkHM35yzISAmQLRetJx67dHKeuyC81EIisEEHC1wKyep2vPrPl2A69XXSd+qmp9e7jahuSTS8C0OoACPbn2H9EeR8C0g8lCI4BA5AJLRtypTX/7R3gDeT1qPfpFivPw9OiFAAJJIFBSVKRpzXvr4LoNtmg96enqtWSiKjZrkgRZECIC4hJ3NgECThSgQHfiqhATAokTKCkp0eTM1ireszfkICo0bqB2Y17lsvaQ5eiAAALJJlC0e7emNump4l27baGnVKuinFUzlFa9WrKlRLwuFDCtDuAbdBduYhNTNu1gmrhG5IRAPAWW3T5Sv7z4um3K1BrVVbRzd1BPOo5nrMyFAAIIJFLgwKo1mt52oEoPFtjCqNCovnqvmCZvamoiw2NuBAIKmFYHUKAHXHIaJIOAaQczGcyJEQGnChTu3KUpddqrtKjYH6InNUX9ti2SNyMj6CcdOzU/4kIAAQSiLeB7uGb/c8r8AvOErh3VY9b4aE/HeAhEVcC0OoACParbg8ESJWDawUyUI/MiYILA/DMv0Y5xP9hSaXj7tWr53MMmpEcOCCCAQEwEtnz4uRZddF2ZsWsNO00dPh0dkzkZFIFoCJhWB1CgR2NXMEbCBUw7mAkHJQAEklRg76KfNLPDybboU6qeoH47lsrr9SZpVoSNAAIIxEdgzZ9e1sp7nigzGb/kjI8/s4QnYFodQIEe3j6gl8METDuYDuMlHASSRmB6u4Hav2SZLd7Wb72orMuHJ00OBIoAAggkUuCn6+7ShtffLxNCy//3hBrecGUiQ2NuBI4pYFodQIHORjdCwLSDacSikAQCcRbY8uk4LTr/atusGdmNlbN8WpwjYToEEEAguQXmnXqR8r77rz0Jj0cdvnhHtc74TXInR/TGCZhWB1CgG7dF3ZmQaQfTnatI1giEL2C9Vm1K3Q4q2p5nG6Tr9K9UrUeX8AemJwIIIOBCAeufqdbtQkdfkaSUFHWfOU5VOrd3oQopO1XAtDqAAt2pO424QhIw7WCGlDyNEUBAqx55Xqsfed4mUW1Ab3Wd8Ak6CCCAAAJhCBTn5yu3WU8Vbt5m6+2tmKFey6Yqo369MEalCwLRFzCtDqBAj/4eYcQECJh2MBNAyJQIJK1A0f79mlyjjUoLCg/n4PWq74Z5Sq9TK2nzInAEEEAg0QIFW7Ypt3lvlezbbwslrWameq+ZqdRKlRIdIvMjINPqAAp0NrURAqYdTCMWhSQQiJPAwt9eq61jv7DNlnX179T6jefiFAHTIIAAAuYKWG/HmNXlFJUWFdmSrNiimXouncQbMsxd+qTJzLQ6gAI9abYegZYnYNrBZLURQCA4gQOr1mhaiz5Saam/g7dSRfXf+ZO8qanBDUIrBBBAAIFyBXZ8P0nzT73I9s9aqwO3ErFxnCBgWh1Age6EXUUMEQuYdjAjBmEABFwiMLP7ado7Z4Et25ajHlPDm+1Pc3cJB2kigAACMRPYMHqMfvr9HWXGr3vZhWr79qiYzcvACAQSMK0OoEAPtOL8PCkETDuYSYFOkAgkWGDHtxM1f8jFtijS69dV31/mJjgypkcAAQTMFFj5wNNa8+RLZZJr+vAdavZw2eLdTAWycpqAaXUABbrTdhjxhCVg2sEMC4FOCLhMYEqDLirYuNmWdefvPlTmoH4ukyBdBBBAIH4Ci353g7Z88K8yE7Z+e5SyLrswfoEwEwK/CphWB1Cgs7WNEDDtYBqxKCSBQAwF1r74ulbcPtI2Q5XundR9xrgYzsrQCCCAAAKWwOy+Z2l37mw7hsejzt+PVeZJfUBCIK4CptUBFOhx3T5MFisB0w5mrJwYFwETBEoKCjQps7VKDuQfTsfjUe+V01SxSSMTUiQHBBBAwNECJSUlmt6yj/JXrbXF6UlLU8+F/1GlltmOjp/gzBIwrQ6gQDdrf7o2G9MOpmsXksQRCEJgydW3a9NbH9ha1hl+ttp98NcgetMEAQQQQCAaAkV79yq3SQ8V5e2yDZdSpbJ6r5qh9BqZ0ZiGMRAIKGBaHUCBHnDJaZAMAqYdzGQwJ0YEEiFwcNMWTW3YVSop8U/vqZCu/nlLlZKRkYiQmBMBBBBwrUD+2vWa1rqfSvMP2gzSs+oqZ9V0edPTXWtD4vETMK0OoECP395hphgKmHYwY0jF0AgktcCcAedq1+TpthyaPXqXmj5wW1LnRfAIIIBAsgrsmjlXc/qcJRUf/sWplUvljm3Vfc438nq9yZoacSeJgGl1AAV6kmw8wixfwLSDyXojgEBZgV3TZ2tOzlm2H6TVqqF+WxbChQACCCCQQIEtn47TovOvLhNBzTN/o45fvJvAyJjaDQKm1QEU6G7YtS7I0bSD6YIlI0UEQhbIze6l/NXrbP3afzpatYedFvJYdEAAAQQQiK7Asd6uYc3Q4KardOJLj0d3MkZD4AgB0+oACnS2txECph1MIxaFJBCIosDGtz7Q0qtvt41YqW0r9Vr4nyjOwlAIIIAAApEI/Hzz/Vr/8ltlhmj+wkg1vm1EJEPTF4HjCphWB1Cgs9mNEDDtYBqxKCSBQJQErNf5TM5sreI9e20j9lw0UZXbtIzSLAyDAAIIIBANgflDL9WOr78vMxRXPEVDlzGOJWBaHUCBzj43QsC0g2nEopAEAlESWPaHh/TLqL/ZRuO+xijhMgwCCCAQZQHrl6qzupyifT8usY+ckqJuuV+qavdOUZ6R4dwuYFodQIHu9h1tSP6mHUxDloU0EIhYoHDnLk2p016lRcX+sTypqeq3baFSq1aNeHwGQAABBBCIvkBJQYFym/VSwcbNtsG9GRXUa+lkZTRuEP1JGdG1AqbVARTort3KZiVu2sE0a3XIBoHwBeaf/jvt+PcE2wCN7rhOLZ59KPxB6YkAAgggEHOBgh15mta0p4r37rPNlZpZTTlrZir1hBNiHgMTuEPAtDqAAt0d+9b4LE07mMYvGAkiEITA3oVLNbPjIFvLlGpV1G/7Et6rG4QfTRBAAIFEC+z7ablmdhys0sJCWygZzRqr17Kp/LM80QtkyPym1QEU6IZsTLenYdrBdPt6kj8ClsD0tgO0f+lyG0abd/+iepecDxACCCCAQJII5E2YqnmDL5RKS20RV+3TXd0mf54kWRCmkwVMqwMo0J2824gtaAHTDmbQidMQAUMFtnzylRZdcI39G5fsJspZnmtoxqSFAAIImCuw8d2xWnrFrWUSrHPROWr3j1fMTZzM4iJgWh1AgR6XbcMksRYw7WDG2ovxEXCygPUEYOvBcEU7dtrC7DZjHE//dfLCERsCCCBQjsCqR57X6keeL9Oiyf23Kvuxu7FDIGwB0+oACvSwtwIdnSRg2sF0ki2xIBBvgZUjn9OaR1+wTVt9YI66/OfjeIfCfAgggAACURRYfPkt2vzeR2VGbPW351X/qoujOBNDuUnAtDqAAt1Nu9fgXE07mAYvFakhUK5A0f79mlyjjUoLjnigkNervhvmKb1OLfQQQAABBJJcYM7Ac7Vr0nR7Fh6POn3zgWoM7p/k2RF+IgRMqwMo0BOxi5gz6gKmHcyoAzEgAkkisPDCa7T1469s0WZd839q/dqzSZIBYSKAAAIIlCdg3cY0o3U/HVi+2tbMk5qqHvO/V+U2LQFEICQB0+oACvSQlp/GThUw7WA61Zm4EIilwIFVazStRR/bk369lSqq/86f5E1NjeXUjI0AAgggEEcB62qp3CY9VLQ9zzart3Il5ayarvRaNeMYDVMlu4BpdQAFerLvSOL3CZh2MFlWBNwoMLPbEO2d+6Mt9ZYvPaGGN13pRg5yRgABBIwWyN+wSdNb9lHJgXxbnml1ayln1QylZGQYnT/JRU/AtDqAAj16e4OREihg2sFMICVTI5AQgR3fTtT8IfYHBKU3yFLfdbMTEg+TIoAAAgjEXmDPvIWa1eN0qbjYNlmltq3UY8H38nq9sQ+CGZJewLQ6gAI96bckCVgCph1MVhUBtwlMqd9ZBZu22NLu/MNHyjypj9soyBcBBBBwlcC2L7/Vj8OusN3eZAFknjpQncePcZUFyYYnYFodQIEe3j6gl8METDuYDuMlHARiKrD2hde04s5HbHNU6dFZ3ad/HdN5GRwBBBBAwBkCv7zylpbddH+ZYOqPuESt/vonZwRJFI4VMK0OoEB37FYjsFAETDuYoeROWwSSWaCkoECTMlvb70H0eHz3H2Y0bpDMqRE7AggggEAIAsvufES/vPBamR7ZT9+vJnfdGMJINHWbgGl1QFwK9GXLlmncuHFq0aKFBg8erAoVKrht35BvjAVMO5gx5mJ4BBwjsOSq27Tp7Q9t8dS56By1+8crjomRQBBAAAEE4iPw47lXadtn48tM1u6Dv6rO8LPjEwSzJJ2AaXVAzAr0adOm6bPPPvP9Wbp0qX+hK1eurCFDhmjYsGEaOnSoMjMzk24TELDzBEw7mM4TJiIEoi9gPcE3t3F3qaTEP7inQrr65y3l6b3R52ZEBBBAICkEjvVGD3m96jrlM1Xr1S0pciDI+AqYVgdErUA/ePCgvv/+e19B/sUXX2jTpk2+lfF4PGVWqLS01Pd3qamp6tevn69Yt/40bdo0vqvJbMYImHYwjVkYEkGgHIHZ/YZp99SZthbNHr9bTe+7FTcEEEAAAZcKlBQVaVp2Lx38ZaNNwPoFbq+lk1SxSSOXypD28QRMqwMiKtDz8vL01Vdf6V//+pf+/e9/a9++fWWK8kPFuFWoH/rvRxbuR/5dhw4ddM455/iK9a5du7ILEQhawLSDGXTiNEQgSQV25c7SnL72yxXTatdUv83296AnaXqEjQACCCAQgUDhzl3KbdpTxbv32EZJqVZVfdbMUGrVqhGMTlfTBEyrA0Iu0NesWeMryK1vyidPnqyioiJbUX6sIrxixYoaOHCgrHvRV6xY4d8TRxbvh/7y0N81bNhQZ599tq9YP/nkk33ftvNBwC2/OWOlETBdILdZT+Wv+cWWZofP31GtoaeYnjr5IYAAAggEIbB/xSrNaHeySgsKbK0rNG6g3stz5aU2CELRHU1cWaDPmTPHfz/5ggUL/Ct96PL1YxXltWrV8t1jbhXYp556qjIyMnz9lixZ4h9r5syZ/m/VyyvWq1WrptNPP9031hlnnKEqVaq4Y7eRZdACph3MoBOnIQJJKLBh9Bj99Ps7bJFXbt9aPRf8kITZEDICCCCAQKwEdk2ZqTkDz7U9q8Sai1dxxko8Occ1rQ445jfo1rfiEyZM8BXSn3/+udatW+dbrSPvJz9WQW09pf3Q/eR9+vQ55v3nRy67dZ+6db+6Nc8PP/wg6z5261PepfDp6ek66aSTfPNY37A3aMBreJLzKEU3atMOZnR1GA0B5wiUlJRocvVWKt77v1uiDn16LvmvKrdq4ZxAiQQBBBBAwBECm8d8qsX/V/Y1a7XPP1Ptx77hiBgJIrECptUBZQr0t99+W3/4wx+0a9eugEW5VbD37NnTX5S3bt067NXZv3+/xo8f7yvWrfvarfvbAxXr1s+te9VnzZoV9rx0NEPAtINpxqqQBQJlBX6+7UGtf+lN2w9qDj1FHT9/By4EEEAAAQSOKbDmqZe08v6ny/ys8V03qvnT96PmcgHT6oAyBfp9992nZ555xr/MR39Tbr3D3HqXufUN9llnnaW6detGfUtY37BMmjTJfyn86tWryy3WrfZ83C1g2sF092qSvakC1kN/JtduLxUX+1P0WG/z2LaQB/6YuujkhQACCERJYMnv79Cm0WPKjHbiq0+rwbWXRWkWhklGAdPqgOMW6FZhfuiS9ho1aujMM8/0FeXWO8wrVaoU17VbuHChv1ifPXt2mV8eUKDHdTkcOZlpB9ORyASFQIQC8067WHnfTLSNwrcfEaLSHQEEEHCRwNzBF2rnf6bYM/Z41PGr91TztEEukiDVIwVMqwOOW6A3a9bMf+m69a5yr9friJ2wYcMG333x1qXw//nPf1RQUCAKdEcsTUKDMO1gJhSTyRGIgcCeBYs1q/NvbCNbr8vpt32xY/7/JQZpMyQCCCCAQBQFrH/nn9HuJB34abltVE9qirrN+reqdGwbxdkYKlkETKsDyhToM2bM8H1D3r59e8evyd69ezVu3DhdeOGFjo+VAGMrYNrBjK0WoyMQf4FpbQaU+ReqNu//RfV+d378g2FGBBBAAIGkFSjOz1dukx4q3LrdloO3UkXf69cq1KuTtLkReHgCptUBIb8HPTw2eiEQWwHTDmZstRgdgfgKbPnoSy0aPsI2acUWTdX756nxDYTZEEAAAQSMEDi4aYumtchRyf4DtnzSatdUzpqZSvn19c5GJEsSAQVMqwNCKtCt16+lpqYGRHJrgx07dmjKlCmyNsnu3buVlZWl7Oxs5eTkKCUlJe4s1hUG1sP2rHi2b9+uOnXqqEmTJurfv7+s19WZ9DHtYJq0NuTibgHrcsQptdvp/7N3HtBNHVkf/6tY7hVjio0NNsZgwJRQQm8JLYSSQiAJKSQhvTfIpi1sCNmUTfZL2U3ZTUghtGSBBAhJCC303sFgsMHduDfJsvSd+4xkyZasJ1mSpec75/gYpHl37vzmjaz/m5l7tUV1mUEMZQBtRezfu3XD4d4zASbABJiAwwTKj5/G/v7XQ6+tDzxKxvy7JWDQya18fMphst53odR0gF0CnSK49+jRA3379sXgwYPx0EMP2cx17n1DbL/HZ8+exfz584X0cHQmvmEhoT5v3jxQhHx3COPs7GwsWLAAq1atQkWFea5h8i08PBxz5szBokWLEBISIrrDhqCBoi8wqVhTU+PShztSm5iOMOZrmIAnEkh75S2kv/GBmWtho4ei3+ZVnugu+8QEmAATYAJeRODKL3/g6OQ7Ab2e/8540bg521Wp6QC7BDqtAhvSrhHYO++8E1999VWrFunffPON8KDCkhBuePP169cPP/zwAzp37uzs+9Job9OmTbjjjjtQUFBgsw1a3V+9erXwwEVMYYEuhhLXYQJMwEBAW1mJHeE9oK+pqYeikGNY9hGoItswKCbABJgAE2ACzSaQ+dk3OPvgC43stL93Fnp88V6z7bMBzyfAAt0k/RqJ9dtvvx1Lly5tldtI1q9fL+SCN40in5iYiLFjx4JS050/fx7r1q1DVVX9+Zjk5GTs2rXLrpVrsdPi4MGDwvb1yspK4yUdO3bEpEmT0L59e2RkZAj+FBcXG9+n1/ft24eYmBibzZgKdPq3PZH91Wq1S7f5S21i2hwMrsAEvIDA8ZvvR/6P68087fjgXUj6ZIkXeM8uMgEmwASYgLcQOL/gDWS89VEjd7v87UV0fulJb+kGtNdwCQAAIABJREFU++kgAanpAIdW0EmcGfKk0+/Zs2fj66+/tkuwOcjfYy6jbeRJSUkoKysTfCIm77zzDp566ikzDvn5+Zg5cya2bNli9H3WrFlYtmyZU/tCDwHIn0uXLhntPvvss1i8eLHZtnry94EHHsDy5cuN9eiM/M6dtoM1mQr01157Da+//rpT+9AcY1KbmM1hwdcyAU8gUHn+AvZ0G2627VAeGIARRach51gmnjBE7AMTYAJMQFIEjt/2IPJXrmvUJ84YIqlhttgZqekAhwW6KR0S6SQ6abu3Pauq3ny7PProo/j444+NXVi4cCFeeeUVi12qrq5G//79cerUKaOYP3DgAGjLu7PK22+/jRdeqN/eM3fuXHzxxRcWzdOK//jx4/H7778b3//xxx8xffr0Jt1hge6s0WI7TED6BPb1vx7lh0+YdTTxwzcQ88i90u8895AJMAEmwARahMD+a29A2d5D5m3L5ei7ZTXChw9uEZ+4UdcTYIF+dYu74Sy6QbTR/2ml+LvvvpO8SM/NzUVsbKwxIFxCQoIgvn18fKzegZs3b8a4ceOM7990003C+W9nFArARlvZDefOQ0NDceHCBSEYnLVy7tw5YcXdsD2fHiDQQ4OmCgt0Z4wW22AC0icgBO2ZdIdZR31jOmBoRtOfMdInwz1kAkyACTABVxLQabXYnTgU6vTLZs3IVD4YdGILAhK6uLJ5tt1CBFigNziDTuNgKtJvvfVWQaS7Iq0YnaHu1KlTiwel+/TTT/Hggw8ab8G33nrLbPXa2r1JEfBPnz4tvO3n5ycI6sDAwGbfyhQYbsKECUY7Dz/8sNnqvrUGJk6ciF9++cX4Np2Zp8Bx1goL9GYPFRtgAq2CwJ8d+0CTk2/W175bfkD4yGtbRf+5k0yACTABJtByBLSlpdjVeRC0xaVmTihCgjDk4j74hIUaX9dpNCj8ZQuq0jJQU1QMn/Aw+MfHImLCaMgllpK45UbE9S2zQL+axqBLly4ICwvD4cOHjefRCT+tpN988834/vvvnS7SaZU3NTVV2Bp+zTXX4B//+IfrR9xCC1OmTBFSqhmKLWFrqEdb4P/2t78Zr6OI7jNmzGh2Hx577DF89FF9YAzauk6B6mwV2gJ///33G6u99957ePrpp1mg2wLH7zMBJmCVQMa7/8L55xeavR8yuD+u2fUTU2MCTIAJMAEm4BYCVemXsKf7SOjVarP2VNHtMeTCXlQcP41zz7yO4m27AZ2usU9yOcJGDUHXd19DcN9ebvGZG3GcAAv0qyvoKSkp+OOPP3D99dcbt0abrqTTFm4KRObMlXQS6EeOHBFGjx4EmEZPd3xI7b+SHkyUlJQIF7Zr1w45OTmijGzYsAGTJ0821qWAcs54yNCnTx8cPXpUsEu8KUp7UFCQTZ9oWz5FlTcUOoNOZ9GtFV5Bt4mUKzCBVk2AViK2hyVBV23yhUgmw5D0/fCL6dCq2XDnmQATYAJMwL0ESvYcwMFh0xoJcJmPj3n6Txtu+cZGo+eyTxA6ZIB7O8CtiSbAAt1EoB86dEgQqtdddx0oxZchsrtBQNPqMIl0pZMi9pJApxV7QxT5lhDoWVlZiI6ONt4wtE2chLeYQkK+Q4f6L6m0LX3jxo1iLrVahxjQNnkKREele/fuxmB0tgzTeNG1hjRwdCbdsAXf0rUs0G0R5feZQOsmcPKeJ5G7dKUZhKjbZ6DnN41T37RuUtx7JsAEmAATcAeBvB9+xolbHmh+U3IZuv/nfXS469bm22ILTifAAr2BQCfCJNIpKvj+/fsbifRp06Zh5cqVThHpniDQGwZ7mzdvHv7973+LutFIENPZc41GI9SPi4vDxYsXRV1rrVJaWhooSJ2h0DiYniu3Zbxbt27CsQEq9CCFcqhbC3ZnKtBHjhwp5HqnHQ2USo6ujYyMBOWBHzVqFG655RYzv2z50dz3pTYxm8uDr2cC7iZQnZWDXbHXADq9sWmZry9GFJ2Cws/P3e5we0yACTABJsAEBAKWjl41RKNQKaH084G2uga1Gq1Vct2//IBFugfeV1LTAQ6nWaMt7rSCbiilpaWCSN+3b18jkT516lSsWrWq2SLdEwQ65Xu/6667jP1etGgRXn75ZdG3KgVhowjrBkFMEdibU7Zv3w4Sy4Zy33334fPPPxdtks6q01EFQ6E86jExMRavNxXothqgrfYU1f/9999HVFSUrerNfl9qE7PZQNgAE3AzgQPDp6J0536zVuMXL0Dc/Mfd7Ak3xwSYABNgAkygnkDJrv04OGxqIyRypQLtenZCdL94BLevz3xUllOEzENpyD1xCTptrfl1Mhn671jD29097AaTmg5wmkCncSKRTtu29+7d20ik33jjjYJIbyoVma2x9gSB/sknn+CRRx4xukpnyOksudhiel6crqHt5bSq7mhpeK79ySefFESx2EI7HNauXWusTufSaZu8pWKPQDdcT+nf6Fz7oEGDxLrkUD2pTUyHIPBFTKCFCJT8uQ8HR0wza92nbRsMzz3WQh5xs0yACTABJsAE6gjs7DwQ6oxMMxzhcW2RPHUQVIHWv4NrKqpxYu1eFKebZyWhM+lDL+5jvB5EQGo6wKkCncaprKxMEOl79uxpJNJvuOEGUORyR0W6Jwj0t99+2yylGgn2hx56SPQtOnjwYOEBhqHQ9nDaGu5ooeMDtFJtKC+++CKWLFki2txtt92GFStWGOvTDogBAywHwSCB3rVrV1AwuTFjxqBnz55o27atEJiO+kFHHCjmAPlUW1v/xJH6t3v37mZteaeJ11TJzs42PgRoaheAaDBckQkwAdEEdnYZ1CjnbO+1XyFyyvWibXBFJsAEmAATYALOJlB2+Dj29x/fSJynzBwOuUJuszldrQ5HV+xAUQORPuDwbwhOqQ+0bNMQV3ApARboFs6gNyROIp2Cp5Eoaxg4jqKYk0hXOZBb0BMEOm1pf/XVV41dplRlc+fOFX3T0XZ02pZuKIbc7qINNKjYcMs9pXJbuNA8xVFTtmm7PtkwlG3btmHEiBEWL6F86xS139ZKOol8SrVHQtlQhg4dij///NPRbtps09QwC3SHMfOFTMBuAlmff4sz8543uy6wdw8MOvK73bb4AibABJgAE2ACziRwaOwtKN6y02iStrUPeXhikyvnDdunlfRdn2w02+4eNmYY+v1uHhTVmX6zLfsIsEAXIdAJaXl5uSDSd+3a1UikT5o0Sdj2bK9I9wSB3ppX0O2ZKmfOnAHtFjCko6NrKXe8aZo5e+zZeijAAt0emlyXCTiHAGWR2BGWhNryinqDMmDw6R0ISIx3TiNshQkwASbABJiAAwQo9efWgHizNGsd+nRG90nX2G3t9PoDyD5qEthZLseoyjTIHVhwtLtxvsAmARboIgW6QaSTGN+5c2cjkU7b4NesWWOXSPcEgd6az6DbnB0NKtBW+wULFhhfnTNnDpYuXWqvGaE+b3F3CBtfxARcSuDs439B5kf/NWujzY3jkbLmS5e2y8aZABNgAkyACdgiULBuE45Nu8es2oB7xpoFhLNlw/A+BY7b/+Vms+p8lEssPdfXY4Fuh0Cn4aioqBBWTXfs2NFIpFPUdxLpvr6+okbOEwR6wy3ltJ2ctpWLLa6O4k7b7WnbvdhiTxR3sTYN9fLy8tC+fXth3KlQwLjMTPMgHfbatFZfahPTWVzYDhNwFQFNYRH+bJcCmMSbkPkoMfzKSSiDglzVLNtlAkyACTABJiCKwKUPPse5p+uPpVIqtZHPmAc0FWXoaqVt760xS8GW+MEixDx+nz0muK6LCEhNBzg9SJwl7pRbm0Q6nb1ueCadzjRTFHExIt0TBLrU8qBT3vJz584Jw2YrD7ojc4qCyp0/f954KeWAdzRIYFPtS21iOsKar2EC7iRwePwsFP22zazJ2BcfRcKbf3GnG9wWE2ACTIAJMAGLBNJefwfpC98zvucb4o+hj0x2mNbOj9ZDXVZlvD7u1WcQ//pzDtvjC51HQGo6wC0CnfCTSKco7hSErKFIv+666wSRbivdmCcIdIoWTivBhkJb9Tdu3CjqDsvJyUGHDh2MdemMPqVJa06hM6BBQUFCujYqSUlJOH36tCiTNA4BAQGorq4W6lN6NUqz5sxCweEoDoGhED9aVXd2kdrEdDYftscEnEmg7OhJ7O97nZlJZVgIhhWchFxuOyquM31hW0yACTABJsAELBHgFfTWc19ITQe4TaDTLUIikkT61q1bG4l02mr9008/NSnSPUGgUz/CwsKMwc+ioqKQm5sragasX79e6L+hUP50yqPe3NK3b18cOXJEMEMpz4qLiwXRbqucPHlSSJVmKJQ+jYL3ObOY+kZ2i4qKBH7OLlKbmM7mw/aYgDMJ7O4+HFVn08xMJn/7EdrNnuHMZtgWE2ACTIAJMAGHCfAZdIfRed2FUtMBbhXoNNok0qdMmYItW7Y0EumUW5tEur+/v8Ubw1MEOvlPEckNhbaIJyQk2LyZX375ZbzxxhvGepRubsaM5n+hfeyxx/DRRx8Z7f72228YN26cTX8+//xzPPDAA8Z67733Hp5++mmb14mtQKv7bdq0ER4YUKGt7bTF3RVFahPTFYzYJhNwBoG8FWtxYtZDZqb8u3bBtWcdT6PoDL/YBhNgAkyACTABUwIcxb313A9S0wFuF+h0q9CWahK5f/zxRyORPnr0aEH8WhLpniLQP/vsM8ybN89411O08hdffNHmLKAt5JR+jApt5y8oKEBgYKDN62xV+PXXX0EB9wzloYceAkWbt1Voez7lNjcUOitOQeycVSgwoGlO9YEDB2Lv3r3OMm9mR2oT0yWQ2CgTaCYBeuj2Z9ue0BaVmFkacHATgvv2aqZ1vpwJMAEmwASYgHMJuCoPul98LIac2+1cZ9mawwSkpgNaRKATfRLpU6dOxe+//95IpI8cORK0HZzOR5sWTxHotKU9NjbWuBpMq+d0drup4GcNg8vddNNNWL16tcM3oumFNTU1iI6ORn5+vvByaGgoLl682ORWclr1p/Pq9IWbCrE9cOCAU/wxGGn4AIB2ECxatMipbRiMSW1iugQSG2UCzSSQ9vISpC/+p5mVsLHD0e+3Fc20zJczASbABJgAE3A+gbLDx7G/f/0iFrUQHtcWKTOHQ66wHTNFV6vDkRU7UJxe9x3btPh1iUXKT18jsEei8x1ni3YRkJoOaDGBTtTVarUg0mlLdsPAcZZEuqcIdPK94bbyptKt0cOIa665BnTmm4pMJhPEcL9+/SzefCSuu3TpYnwvLi5OENxNlXfeeQfPP/+8sUpT6dZIlNOKOz0cMRQ6e05n0C2VwsJC4WgCPQQQW1577TUQE0OhHQP0UMAeG2LbonpSm5j29J3rMgF3ENCWl2NHm57Q19TUN6eQY1j2Eagi27jDBW6DCTABJsAEmIDdBHZ2Hgh1hnmaXxLpyVMHQRXoZ9WepqIaJ9butSjOjRfJZOhw/+3o9slbHCTV7pFx3gVS0wEtKtBpWEikT5s2DbRNu6FIHz58uBDl3LAN3JMEelZWlhD1vKysTLi7SHSTSKbAb6ZRjGlVe+bMmcKZe0OZNWsWli1bZvWudESgk4CmFfFLly4Z7T777LNYvHgxVCqV8TXyl86dL1++3PjakCFDsHPnTqv+HD58GNdeey3uvvtuzJkzB8OGDRP6a6nQNvkFCxZg5cqVZm+TYH/99dedNxMbWJLaxHQZKDbMBBwkcOym+1DwP/OsEx0fuhtJH7/poEW+jAkwASbABJiA6wmU7NqPg8OnAXq9WWNypQLtkjshun88gtuH139XzilC5sE05J68BJ22VpSDyvBQ9FzxKSLGjRBVnys5l4DUdECLC3QaHhLptHpL56EbinQSg5TGjES6Jwl08pvOytMOAMM2cXqN8opTgLaIiAhhxXjdunXGFGj0fnJyspB2LCQkxKkCnYwdPHhQOPNNKe0MhVLCUQ76du3aCeKd0tkZgrZRHUp5tm/fPsTExFj1hwS66Wo/BX6j/3fr1k3YRk+R4+k8Pe0K2L9/vxkPMkoPKL7//nurot4ZU1RqE9MZTNgGE3AWgcrzF7Cn23CzLzfywACMKDoNuVLprGbYDhNgAkyACTABlxDIXroSp+950qpthUoJpa8PtOoa1Gq0VuuFDB2A0p37rb4fMWE0eq7+HMoGx3Rd0ik2aiQgNR3gEQKd6FJ0b4poTmK8oUinXNr0Om17J7FIq7dUx1QYt9Q9+vXXX4OCspmKYmu+UMox2kreuXPnJt11ZAXdYPCXX37BHXfcgStXrthEQtvo6Ry8ta32BgMNBbpNw1crkHB/5ZVXQGfP6d+uLFKbmK5kxbaZgL0E9vW7DuVH6o7oGEq3T5Yg+sG77DXF9ZkAE2ACTIAJtAgBQaTf+1SjlXRRzshl6P6f99HhrltRdvQkjt14F9SXsixeKvPzRbcPF6Pj3NmiTHOl5hOQmg5wSKATxj59+uDQoUPNJ2pigUQ6BU+jbe2WRDptF6dVaSqeItDJF4rMPn/+fGFFnQK2NSwdOnQQtpX/5S9/Mdtubg1ecwQ62czOzhb8WbVqlcUHB+Hh4cJWdQrY1tRKvsE/Evu0VZ626R89ehRarfUni3QN2Z89ezaeeOIJYdu9O4rUJqY7mHEbTEAMgSsbN+Po5DvNqvp26oih6dZXEMTY5TpMgAkwASbABNxNgLa7n5j9cKMz6U354RsbjZ7LPkHokAFm1dJee7sucGqt5W3wgSnJSFn/Dfw6tnd3N1tde1LTAXYJdMpTTtuoy8vLkZKS4nSBTncTCVwS6RTFvaFIN9xtnrSCbjoDSMj++eefQsCy0tJSYfs4pS2jbfquXkG2NBNpnLZt2yZsbadAb1FRUaCAc7QN3tfX16HJS8cRKNjdhQsXQOfw6Uw77WSgre609Z3uix49erh0O7slx6U2MR0aHL6ICbiAwI4OKajJLTCz3HfbjwgfPtgFrbFJJsAEmAATYAKuJ0DR3c89+1cUb90FXM1oZNaqQo6wUUPR9b3XEZySbNUhdU6e8BC7/PBxy3UUcsTNfxzxi2ynY3Z9r6XbgtR0gF0C3TCsp0+fRnp6OiiNlisKifRbbrkFP/30k5lIp7YMot2TVtBdwYBt2kdAahPTvt5zbSbgGgLpb3+MtBf/ZmY85Nr+uGbnT65pkK0yASbABJgAE3AjAZ1Gg8JNW1F9IQOaK0VQtQkHpU+LGD8KcpMgy7Zcyv5qBc4+/CJ01WqLVVXRHZCy7isE9+1lyxS/7wABqekAhwS6A9zsvoS2UZNIpyBrpqKcDHnqCrrdneQLnEZAahPTaWDYEBNwkAB9adkelmT+ZUMmw5D0/fCL6eCgVb6MCTABJsAEmIA0CWgrK3Hi1nko3LDZagejbp+BHl9+wAFWnXwLSE0HeKxAp3EjkX7rrbcKkcdNt7vTe7yC7uQ728vNSW1ievlwsPsSIHDyrieQ+80qs560u/MWJC/9pwR6x11gAkyACTABJuAaAkWbd+D4zHnQFhZbbEARHITkbz5E5I3jXeNAK7QqNR3g0QLdINIpTdeaNWsEUU6FV9Bb4cyz0WWpTUweYSbQkgSqs3Kwq9M1ZpFuKSrtyOIzdm35a8k+cNtMgAkwASbABFqKAMVnSn30JWR9+rXVqPGhIwYL296VTaRebin/va1dqekAjxfodIPU1tbitttuE1KUGQqvoHvb1HGtv1KbmK6lxdaZQNMEDgy7EaW7DphVil/yF8S98CijYwJMgAkwASbABEQSqDhzDkdvmIPqtHSLV8hUPuj69quIefw+kRa5miUCUtMBXiHQDSL93XffxZ49e4Rc6JSKjIQ7FyZABKQ2MXlUmUBLESjasQeHR84wa94nKhLDc462lEvcLhNgAkyACTABryaQ/vePcOHlt6C3kqrYv1sC+mz4Bv5d4ry6ny3lvNR0gNcI9IYDTmnMxOTwbqkbhdt1LwGpTUz30uPWmEA9gZ1xA6C+lGWGhPK4tpk4ljExASbABJgAE2ACDhLQFFzBsal3o3T3QcsW5DJhJT3h3dchl8sdbKV1XiY1HeC1Ar113n7ca2sEpDYxeaSZQEsQyPzsG5x98AWzpgNTkjHo8G8t4Q63yQSYABNgAkxAcgTyVqzFqfuega6i0mLfaNda7x//g9AhAyTXd1d1SGo6gAW6q+4UtutWAlKbmG6Fx40xAQA6rRY7wruj1vQLg0yGwae3IyAxnhkxASbABJgAE2ACTiJAqUxP3vEo8lf/bNVi5PRJ6Pn9JxycVQRzqemARgJ98eLFOHDgAKZOnYobb7wRERERIrC4twoFiNu9e7cQ2Z1+Tp065V4HuDWPIyC1ielxgNkhyRM4+9gCZH78lVk/I6dNFJ7ic2ECTIAJMAEmwAScT6BkzwEcm34vanILLBqXB/ij+xfvod1t05zfuIQsSk0HNBLoL730Et566y0hpZlCocCwYcMwbdo0TJ8+HV26dGmxoVSr1fjtt9/wv//9D+vWrUNeXp7RF0plwKV1E5DaxGzdo8m9dzcBOhf3Z4e+lDLD2LTMxwfDr5yAMijI3e5we0yACTABJsAEWg0B0jHnX1iEy+9/BljRNMGD+iHlp6VQRbZpNVzs6ajUdIBVgW6AYsg9Tv/v1auXINbpZ8AA15+LKCwsxE8//SSskm/atAkVFRWCW5QH3dQ/Fuj23MLSrCu1iSnNUeJeeSqBw9ffhqLft5u5Fzv/cSQsXuCpLrNfTIAJMAEmwAQkRaAq/RKOTr4TladSLfZLplSgy1+fR9yCJyTVb2d0Rmo6oMkVdAOwhoKYXo+Ojha2wZNYHzNmDHx8fJzBFxcuXDBuXd+xY4cxlZrBB9MHBvQa50N3CnavNyK1ien1A8Id8BoCZYePY3//8Wb+KsNCMazgBEeR9ZpRZEeZABNgAkxAKgQuf/xfnHvmr9BrNBa75NclFik/fY3AHolS6XKz+yE1HdBIoGdkZGDZsmWCSN67d68ggKkYflsS65TubNKkSYJYnzx5st3pz+jMO7VH29ePHz9uHCRropwqtG3bFlOmTBHapLPyXFo3AalNzNY9mtx7dxLYnTQMVakXzJpMXvYJn3dz5yBwW0yACTABJsAETAhoS0txbPpcFG/ZaZmLTIYOc2ej27//zg/TAUhNBzQZxT03N1c4703CefPmzaBz4KZinf7dUETTSvqoUaOMW+FjYmIa3Vg1NTXYsmWLYHft2rXIzMwU6lgS/6avde3a1XgefujQoTyRmYCRgNQmJg8tE3AHgdxlPwpRZE2Lf7d4XHt6hzua5zaYABNgAkyACTCBJggU/PQrTt75GGpLyyzWUoaHoueKTxExbkSr5ig1HSA6zVplZSU2btworHT//PPPKCoqsinWqUL//v2NK+upqanC9Rs2bEBpaalNUU7ifODAgUKAOlop7969e6u++bjz1glIbWLyWDMBVxOg2B1/RvaEtrjErKkBBzchuG8vVzfP9pkAE2ACTIAJMAERBCgN6um5zyD3m1VWa0dMGI2eqz+HMiBAhEXpVZGaDhAt0E2Hkr7Ybdu2zXhWPD093apYpzdMz43T/5vauu7r64uxY8cKgpzOuLdr1056dxH3yOkEpDYxnQ6IDTKBBgTOv/QmMpb8n9mr4eNGoO+vy5kVE2ACTIAJMAEm4GEEKGbMsWn3QH0py6JnMj9fdPtwMTrOne1hnrveHanpAIcEekPMR48eNYr1Q4cOGd9u6ty6qVAPCwvDDTfcIIjyiRMnIjAw0PUjyS1IioDUJqakBoc743EEtOXl2NEmGfoabb1vlFYz9yhUEeEe5y87xASYABNgAkyACdQRSHvtbaQv/qdZalRTNoEpyUhZ/w38OrZvNcikpgOcItBNR58A0blyOl++detWaLV1XwAbivW4uDhhhZy2r48cOZIDHLSaKeSajkptYrqGEltlAnUEjk2/FwVrfzHDEf3ovej2f28wIibABJgAE2ACTMDDCahz8oSUbOWH64Nrm7mskCPuxccQ/7f5Ht4T57gnNR3gdIFuipnOma9fv15YXafz6wkJCcbgcSkpKc4ZEbbCBCQYvZEHlQm4ikBlahr2dB8O1CXoEIoiMADDS87yg1JXQWe7TIAJMAEmwARcQCD7qxU4+/CL0FXXBfJuWFTR7ZGybqnkY8uwQHfBzcUmmUBzCUhtYjaXB1/PBKwR2Nv3OlQcPWn2NqVpiX7gTobGBJgAE2ACTIAJeBkBbWUlTtw6D4UbNlv1POr2Gejx5QeQK5Ve1jtx7kpNB7h0BV0cUq7FBJpPQGoTs/lE2AITaEygYP1vODblLrM3fGOjMfTiPsbFBJgAE2ACTIAJeDGBos07cHzmPGgLiy32QhEchORvPkTkjeO9uJeWXZeaDmCBLrlbtHV2SGoTs3WOIvfa1QR2tE9BTV6BWTP9t69B6LCBrm6a7TMBJsAEmAATYAIuJkCZtlIfmY+sz76lAGAWWwsdMRi913wJn7BQF3vjPvNS0wEs0N1373BLLiQgtYnpQlRsupUSSF/yf0h76U2z3ocMuQbX/LmulRLhbjMBJsAEmAATkCaBijPncPSGOahOq0uF3bDIVD7o+variHn8PkkAkJoOYIEuiduSOyG1ickjygScSUCn0WBbWBL0pkFk5DIMyTjQqtKwOJMp22ICTIAJMAEm4OkE0v/+ES68/Bb0V7NqNfTXv1sC+mz4Bv5d4jy9K036JzUdwALdq29Hdt5AQGoTk0eWCTiTwMk5jyH32x/MTLabcwuSv/qnM5thW0yACTABJsAEmICHEdAUXMGxqXejdPdBy57JZcJKesK7r4vO5kIP/gt/2YKqtAzUFBXDJzwM/vGxiJgwGnKVyu0EpKYDWKC7/RbiBl1BQGoT0xWM2GbrJFB9ORu74gaYnUWT+/liRPGZFvkj2jpHgXvNBJgAE2ACTKBlCeStWItT9z0DXUWlRUc2qic5AAAgAElEQVR8oiLR+8f/IHTIAKuOlh0+jnPPvI7ibbsBna5xPbkcYaOGoOu7r7k1tZvUdAAL9JadK9y6kwhIbWI6CQubYQI4MHRKo6fm8W+9jLjnH2E6TIAJMAEmwASYQCsiQCvfJ2c/gvwf11vtdeS0iei5/F9mD/FLdu3HidkPQ52RKZoWZYnpueyTJgW/aGM2KkpNB7BAd9adwXZalIDUJmaLwuTGJUOgaMceHB45w6w/Pu0iMTz7qGT6yB1hAkyACTABJsAE7CNAgvvYjLmNMrsYrMgD/NH9i/fQ7rZpyF66EqfvfcpqVPgmW5bL0P0/76PDXbfa56CdtaWmA1ig23kDcHXPJCC1iemZlNkrbyOwM24A1JeyzNxO2fAt2kwY421dYX+ZABNgAkyACTABJxKglGznX1iEy+9/Znm7OgDf+Fio0zKstqpQKaH084G2uga1Gq3Vet2//MClIl1qOoAFuhNvdDbVcgSkNjFbjiS3LBUClz/5CqmPLjDrTlDfnhh48FepdJH7wQSYABNgAkyACTSTQFX6JRydfCcqT6WKsiRXKtCuZydE94tHcPtw4zVlOUXIPJSG3BOXoNPWmtuSydB/xxqXbXeXmg5ggS7qVuRKnk5AahPT03mzf55NQKfVYnt4d/NAMDIZBp/dgYCELp7tPHvHBJgAE2ACTIAJuJ3A5Q//i3PPvQ69psZq2+FxbZE8dRBUgX5W62gqqnFi7V4Up+eb1aEz6UMv7nNJv6SmA1igu+Q2YaPuJiC1ieluftyedxKwluYk/6dfkfPZt2adipw+Cb1/+MI7O8peMwEmwASYABNgAi4noC0txbFp96J4665GbZE4T5k5HHKF3KYfulodjq7YgaIGIn3A4d8QnJJs83p7K0hNB7BAt/cO4PoeSUBqE9MjIbNTHkPAZpqTBp7KfHwwvOgUlAEBHtMHdoQJMAEmwASYABPwTAJ7+4xDxbFTRudoW/uQhyc2uXLesCe0kr7rk41m293DxgxDv99XOr3TUtMBLNCdfouwwZYgILWJ2RIMuU3PJ+BImhPqVbu7ZyL5v+97fgfZQybABJgAE2ACTKBFCdDuvK0B8WaB4zr06Yzuk66x26/T6w8g++jF+uvkcoyqTDNL4Wa3UQsXSE0HsEB3xl3BNlqcgNQmZosDZQc8joA3pDnxOGjsEBNgAkyACTABJmAXgYJ1m3Bs2j1m1wy4Z6xZQDixBilw3P4vN5tV7732K0ROuV6sCVH1pKYDWKCLGnau5OkEpDYxPZ03++deAoI4v+dJq416SpoT91Lh1pgAE2ACTIAJMAFnE7j0wec49/SrRrP0HWPkM9Mcbmbbe2vMUrAlfrAIMY/f57A9SxdKTQewQHfq7cHGWoqA1CZmS3Hkdj2PAG1rPzh8GqDXmznniWlOPI8ee8QEmAATYAJMgAnYQyDt9XeQvvA94yW+If4Y+shke0yY1d350Xqoy6qMr8W9+gziX3/OYXss0J2Kjo0xAdcRYIHuOrZsuWUJ7Ow8EOqMTDMnPDXNScuS4taZABNgAkyACTCB5hLgFfTmEmz+9byC3nyGbMEDCLBA94BBYBecToCite/vP76ROPfUNCdOB8AGmQATYAJMgAkwAbcS4DPobsVtsTEW6C0/BuyBEwiwQHcCRDbhcQQOjb0FxVt2Gv3y9DQnHgeQHWICTIAJMAEmwATsIsBR3O3C5ZLKLNBdgpWNupsAC3R3E+f2XE3AG/9AupoJ22cCTIAJMAEmwARcT8DbFgikpgNYoLv+HucW3EBAahPTDci4CQ8n4I1bzDwcKbvHBJgAE2ACTIAJiCDgjCN2R1bsQHF6vllrAw7/huCUZBEe2FdFajqABbp948+1PZSA1Camh2Jmt9xIwBuDtLgRDzfFBJgAE2ACTIAJuJCANwWplZoOYIHuwhubTbuPgNQmpvvIcUueSsAb05x4Kkv2iwkwASbABJgAE7CPQJNpXpM7Ibp/PILbhxuNluUUIfNgGnJPXoJOW2vemFyG/tvXIHTIAPucEFlbajqABbrIgedqnk1AahPTs2mzd+4gwCvo7qDMbTABJsAEmAATYALWCGQvXYnT9zxpFZBCpYTS1wdadQ1qNVqr9bp/+QE63HWry0BLTQewQHfZrcKG3UlAahPTney4Lc8kwGfQPXNc2CsmwASYABNgAq2JgCDS730K0Ovt77Zchu7/ed+l4pyckpoOYIFu/63GV3ggAalNTA9EzC65mQBHcXczcG6OCTABJsAEmAATsEiAtrufmP0w1BmZogn5xkaj57JPXLat3dQRqekAFuiibzOu6MkEpDYxPZk1++YeApc/+Qqpj71k9sSa86C7hz23wgSYABNgAkyACTQmQNHdzz37VxRv3QXodI0rKOQIGzUUXd973SXR2q2NidR0AAt0nn2SICC1iSmJQeFOOERAU3AFR8bPRvnh4xavD49ri5SZwyFXyG3a19Xq4M40JzYd4gpMgAkwASbABJiA1xOgXX6Fm7ai+kIGNFeKoGoTDr8usYgYPwpylcrt/ZOaDmCB7vZbiBt0BQGpTUxXMGKbnk/g8v99ITyZ1mutB1qhXpBIT546CKpAP6ud0lRU48TavY1ykNKWs6EX93k+DPaQCTABJsAEmAATYAIiCEhNB7BAFzHoXMXzCUhtYno+cfbQmQTUOXk4MmE2Ko6dEm2Wtru387A0J6Kd54pMgAkwASbABJgAE3ASAanpABboTrox2EzLEpDaxGxZmty6OwlkvPsvpC14A/qGOUOvOtHmhusQOWMiztz/nFW3PCXNiTu5cVtMgAkwASbABJgAEyACUtMBLND5vpYEAalNTEkMCneiSQLVl7NxZMIsVJ5KtVhPERyInsv/jTYTxwrve0OaEx5yJsAEmAATYAJMgAm4m4DUdAALdHffQdyeSwhIbWK6BBIb9RgC6W/+E2mvvg3U1lr0KXLaRPRc/q9GgVY8Pc2JxwBmR5gAE2ACTIAJMIFWQ0BqOoAFequ5daXdUalNTGmPVuvtXXVGJg6Pvw1VZ9Msr5qHBqPXqs8RMW5Ek5A8Nc1J6x1Z7jkTYAJMgAkwASbQUgSkpgNYoLfUncTtOpWA1CamU+GwMY8gcGHRP3Bx4btArYW8oQDa3jIFyd99DLlSKdpfT0tzItpxrsgEmAATYAJMgAkwAScRkJoOYIHupBuDzbQsAalNzJalya07k0DVhXQcHj8b1ecvWjSrDAtFr//9F+Ejr3Vms2yLCTABJsAEmAATYAKtgoDUdAAL9FZx20q/k1KbmNIfsdbRw7RX3kL6m/8H6CyvmkfNmo4eS/9p16p56yDHvWQCTIAJMAEmwASYgDgCUtMBLNDFjTvX8nACUpuYHo6b3bNBoDI1TchrXn3xkuVV84gwpKz5CqHDBjJLJsAEmAATYAJMgAkwgWYQkJoOYIHejJuBL/UcAlKbmJ5Dlj2xl8D5+W8g452PAZ3e4qXt5tyC7v99H3K53F7TXJ8JMAEmwASYABNgAkygAQGp6QAW6HyLS4KA1CamJAallXWi4lQqjkycDfWlLIs992nbBr3XfonQwde0MjLcXSbABJgAE2ACTIAJuI6A1HQAC3TX3Sts2Y0EpDYx3YiOm3ICgdRnXsflDz4D9JZXzdvPnY2kT9/mVXMnsGYTTIAJMAEmwASYABMwJSA1HcACne9vSRCQ2sSUxKC0gk6UnziDIxNvhyYz2/KqeVQk+qz/FsH9e7cCGtxFJsAEmAATYAJMgAm4n4DUdAALdPffQ9yiCwhIbWK6ABGbdCIBnU6Hc0++gsyPv7S8ai6ToeO8OUj8aDGvmjuRO5tiAkyACTABJsAEmEBDAlLTASzQ+R6XBAGpTUxJDIpEO1F29CSOTrodmuw8iz1UdYhCyobvEJySLFEC3C0mwASYABNgAkyACXgOAanpABbonnNvsSfNICC1idkMFHypiwjQqnnqI/OR9dm3VlfNox+9F13fX8ir5i4aAzbLBJgAE2ACTIAJMAFeQed7gAl4AQEW6F4wSF7sYun+Izg6ZQ5q8gos9sI3poOwah7UM8mLe8muMwEmwASYABNgAkzA+whITQfwCrr33YPssQUCUpuYPMieQYBWzc888Bxy/vu9ZYdkMsQ8PQ+J77zmGQ6zF0yACTABJsAEmAATaGUEpKYDWKC3shtYqt2V2sSU6jh5U79K9hzAsRvvRk1BoeVV89ho9PllGQKTunpTt9hXJsAEmAATYAJMgAlIioDUdAALdEndnq23M1KbmK13JFu+57Rqfvqep5D7zSrLzshliH3+ESS8+ZeWd5Y9YAJMgAkwASbABJhAKycgNR3AAr2V39BS6b7UJqZUxsXb+lG0Yw+OT78X2sJii677xccKq+YBCV28rWvsLxNgAkyACTABJsAEJElAajqABbokb9PW1ympTczWN4It22OdVotTcx5H3vI1VlbN5Yj7y5OI/+vzLesot84EmAATYAJMgAkwASZgRkBqOoAFOt/gkiAgtYkpiUHxkk4UbdmJ4zfNhba41KLH/l27oM+v38M/rpOX9IjdZAJMgAkwASbABJhA6yEgNR3AAr313LuS7qnUJqakB8tDOker5idnP4z81T9b9kghR5fXnkPnl5/yEI/ZDSbABJgAE2ACTIAJMIGGBKSmA1ig8z0uCQJSm5iSGBQP7kThr1tx/NZ5qC0ts7xqntQVfX9ZBr/YaA/uBbvGBJgAE2ACTIAJMAEmIDUdwAKd72lJEJDaxJTEoHhgJ3QaDU7MfBAFa3+xsmquQPyiFxA3/3EP9J5dYgJMgAkwASbABJgAE+AVdL4HmIAXEGCB7gWD1MIuXtm4WRDnteUVFj0JSE5Cn03L4NexfQt7ys0zASbABJgAE2ACTIAJiCUgNR3AK+hiR57reTQBqU1Mj4btZc7Rqvmxm+5D4frfLXouUyoQv+RlxD7zoJf1jN1lAkyACTABJsAEmAATkJoOYIHO97QkCEhtYkpiUDygEwXrNuHE7Y9AV1Fp0ZvAlGT02fgdfNtHeYC37AITYAJMgAkwASbABJiAvQSkpgNYoNt7B3B9jyQgtYnpkZC9yKna6mocm34vijZttbJqrkTXd19DzOP3eVGv2FUmwASYABNgAkyACTCBhgSkpgNYoPM9LgkCUpuYkhiUFupE3g8/49RdT0BXWWXRg6B+vdHnl++gimzTQh5ys0yACTABJsAEmAATYALOIiA1HcAC3Vl3BttpUQJSm5gtCtNLG9dWVuLYjXej+I8/LfZA5uODxH8uQvSDd3lpD9ltJsAEmAATYAJMgAkwgYYEpKYDWKDzPS4JAlKbmJIYFDs6QYHcCn/Zgqq0DNQUFcMnPAz+8bGImDAacpXKpqXc5Wtweu7T0FVVW6wbPLAvUjZ8C1VEuE1bXIEJMAEmwASYABNgAkzAewhITQewQPeee489bYKA1CZmaxnsssPHce6Z11G8bTeg0zXutlyOsFFDhPPiwX17NXpfW16OozfMQcn2PRaRyVQqdPv4TXScO7u1IOV+MgEmwASYABNgAkzApQT0ulpo88+gtiIfek05ZKogKALbQtk2CTK5wqVtWzIuNR3AAt3ttxA36AoCnjIxPe0DyxWsnWGzZNd+nJj9MNQZmaLN+cZGo+eyTxA6ZIBwTc43q3F63nPQV6st2ggZcg1Sfv4GPmGhotvgitInwHNU+mPMPWQCTIAJMAHXEKgtzUb53s+En9rSxt/hFCHRCBo8D0ED74cipINrnLBg1VN0gLM6zALdWSTZTosSaOmJ6akfWC06KFYaz166EqfvfQrQ6401aiHDpcAQlPj4oUqhhH+tFqE11ehUUQoF6utBLkO3j95EzterULpzv8UWZL6+SPr339Hhrls9sfvsUwsR4DnaQuC5WSbABJgAE/B6AtriDBRvmI/KY6sAndZ2f+RKBPS+BWGTlkAZFmu7fjNrtLQOaKb7jS5nge5somyvRQi01MT09A+sFhmMJhoVxPk9TxprXFH54+foRPwUnYgCv8BGV0ZWV+DGzLOYnHkObTSWo7KbXhQ6fDBSfvoKypAQT+s6+9NCBHiOthB4bpYJMAEmwAQkQUB9eT/yv5wCXXme3f2RB7VD23vWwTembvejq0pL6QBX9YcFuqvIsl23EmiJiekNH1huHQQbjdG29oPDpwkr57m+gfg0sT+2RcWhVi636aZCp8PIvHTMSz2IduqKRvXlfr7o/sV7aDd7hk1bXKH1EOA52nrGmnvKBFo7AT6+09rvANf0n/6O5n06BnpN4+9e1KLMxx9yVSB0mgroaywvpMhUgYia94dLRXpL6ADXEK+zygLdlXTZttsIuHtiessHltsGQERDOzsPFM6cnwlug5f6jkWRr7+Iq8yrhKursPjwZiSVXTG+ETZ6KHr/tBTKgAC77fEF0iXAc1S6Y8s9YwJMoJ4AH9/hu8FVBGgHWs6HgxqtnMsUKgQkjEJw0kSoIhOMzWsKzqPszEZUnt8Kfa3GzC15UBTaP7bXZdvd3a0DXMXcYJcFuqsJs323EHDnxPSmDyy3wBfRCEVr399/vCDOn75mPKqVPhav8vP1RYC/HyqrqlGtthz8zU9bg38c2CSI9IR3XkXsMw+J8ICrtCYCPEdb02hzX5lA6yTAx3da57i7s9cFy25H5ZHvzZr07ZCCyFHPQOEfZtWV2qpiFGx9F+rsY2Z1AvrMQuTs71zSBXfqAJd0oIFRFujuoMxtuJyAOyemN31guRy8yAYOjb0FZ3YdwSODJjdaOVf5+GBIv74Yd+1gdI6JNlq8eDkTv+/eg12HDkNTU2PWEq2kf7x3PZKG9kW/31eK9IKrtRYCPEdby0hzP5lA6yTAx3da57i7s9e0MyNzSZxZQDgS51HXvwKZwvIii6l/+toa5P26COrso/Uvy5WIXpABRXB7p3fFnTrA6c5bMMgC3R2UuQ2XE3DXxPS2DyyXgxfRgE6jwdaAeCxKHoY/2ncxuyK5awIenn0bQoODrVoqKSvDJ8uW4+S582Z1xuRcwCsn/8SoyjTIVSoRnnCV1kCA52hrGGXuIxNovQT4+E7rHXt39rzkt4Uo+e11Y5O0rb3jrZ82uXLe0D9aSc9aOc9su3vo9X9F6LhXnN4Vd+kApztuxSALdHeR5nZcSsBdE9PbPrBcCl2k8YJ1m7Dl1ocxa/jNZgHhSJw/N/ceKJVKm5a0Wi3e+c+XZiKdAsct37EKo1b9G5FTrrdpgyu0DgI8R1vHOHMvmUBrJMDHd1rjqLu/zxRwMGtJZ7M854HdrkebYY/a7cyVHR+iIvU343WUJ73j/IuQyRV222rqAnfpAKc63YQxFuhOJF1YWIg///wTdJOUlpaiQ4cOiI+Px5AhQ6BQOPdGFON2eXk5tm/fLvhz5coVREVFIS4uDiNGjIDKSSuOmZmZ2Lt3L+h3ZWUloqOjkZSUhAEDXJtOoWH/3TExvfEDS8x94so6VRfSceHVt/H2znP4MqGvsSna1v7eghcQEhQkunlaSX92ydtm293vPX8IC5+aiZjH7xNthytKlwDPUemOLfeMCTABgI/v8F3gDgI1uSeR/Y9eZk21v/Fds4BwYv2gwHE56541q97hmRPwieoh1oSoeu7QAaIccVIlFuhOAHn27FnMnz8fP//8MzQa86iFZJ6E+rx58/DSSy85TRg35XZ2djYWLFiAVatWoaKicVqE8PBwzJkzB4sWLUKIg/miSZS//PLL+P3336HT6Rq5k5CQgCeeeAKPP/44ZDKZEyg3bcIdE9MbP7BcDV5bWYmy3QdRuvcQyo+fRtW5i1Bn5kBbWARddTWgB2ohw+zhN5nlOR81aCDuu+Umu937YuVqbN2333gd5UnfOSYWiX993m5bfIH0CPAcld6Yco+YABOoI8DHd/hOcBeB6rStQmo1Q6FUap3uXOZw85e+ngW9ttp4fdS8LfCLH+mwPUsXukMHONVhG8ZYoDeT9jfffIOHHnrIohBuaLpfv3744Ycf0Llz52a2av3yTZs24Y477kBBQYHNNmh1f/Xq1ejbt35l0+ZFAP7+97/jL3/5C2jbsa0ybtw4rFixAhEREbaqNut9d0xMb/zAahZUQHj4UpWahtKd+1F26DgqT59DdcZl1ORdgbasHKittdqEVibDFVUAjoe2xRsp5h/EC594zCwgnFg/KXDcq//80Kz65tFxGPPSw2JNcD0JE2iNc1TCw8ldYwJMwIQAH9/h28FdBKpO/4z8L280NqcIjET0zM8dbj5z+X2oraxPj9v2nnXw736Dw/ZYoDsVnfSMrV+/HjfeeKPZCnJiYiLGjh0rCNLz589j3bp1qKqqMnY+OTkZu3btcnjluimKBw8eFLav01ZzQ+nYsSMmTZqE9u3bIyMjQ/CnuLjY+D69vm/fPsTExIgaoH//+9/CAwnTQgJ/+PDhCAwMxKlTp0BcTMX7mDFj8Msvv8DHx3bUR1FOWKjkDoHu6g+skFEvImjoo1CGihsLR1k1vE5bWoqSnftRuu8IKmgV/Hw6NNm50BYVQ1fdONWZHkCpjy+uqPxR4BeAAt8AXPH1F37n+xr+H4BilR/0FnZPUCq1TxfVBx6xtx/zXn4N1SY7Vdbc3B9TH5xprxmuLwECer0etUXp0GQdgib7MKrPbILm8h6v+lIhgWHgLjABJuBiAnx8x8WA2bwZgarU35D/xXjja7yC7v4bhFfQHWRO28jprHVZWZlggbZxv/POO3jqqacgl8uNVvPz8zFz5kxs2bLF+NqsWbOwbJnjW0UsuUwPAcifS5cuGd9+9tlnsXjxYrNt9eTvAw88gOXLlxvr0Rn5nTt32iRx+PBhDBw40Ci+fX198Z///Ae333672bVpaWmYNm0ajh8/bnydjgC8+eabNttwtII7BLqrV+cMfacAGqq4IfDtNBi+cUOg6tgfMh8/R9EID5BIeJfuOYjyQydQeeYc1Jcyocm/gtryCqC2/oiCRi4XhLbhxyC8G76mUdgO7GbN4YiwULz/0nyH+/PUG0tQWFJivH7ta3fgxmG9HbbHF3oHAUrZQlvYSYjXZB2Ghn6yD0NfXX8vNOyJs79UhM/4F4IG3g+ZyWe8d9BjL5kAE/BmAnx8x5tHzzt819dUoyr1V1QdX42K4z8Cmjp9YyiOn0E/h5x1z5nZ4jPotu8JFui2GVms8eijj+Ljjz82vrdw4UK88orltAHV1dXo37+/sLpMhcT8gQMHQFvenVXefvttvPDCC0Zzc+fOxRdffGHRPAm28ePHC+fHDeXHH3/E9OnTm3TnhhtuEFbHDWXp0qXCWXZLhbbY9+zZE3l5ecLb/v7+wo4COo/viuIOge7cP5CNP7CsclH4QNWxH1RXBbtvp2uhCI8zO9uvKbiC0l0HULr/CCqPnwEFZ1PTKnhxKfRqDUiC04q26Wp3vQivF+SlKl9XDI+ZTWevoG99Zx5GpsS73G9uwH0EdNWl0GQfqRPi2XVivCb3BFDbOMaHLa+c+aWC2lKEdIR/8lT4J0+HX/xoyJSc4s/WGPD7TIAJNI+AqxcIXHEmuHk95qvdQUCnqUT12Y2oPP4Dqk6tg15tLspNfeAo7u4Ykfo2WKA7wDs3NxexsbHGgHAUEI3Ed1NbuDdv3gw6j20oN910k3D+2xmlpqYGtJXdcO48NDQUFy5cAAWDs1bOnTsnrLgbArzRAwR6aGCtHDp0SHjIYCgjR47E1q1bm3SfVtfvu68+uvYzzzyDd9991xldbmTDHQLdlVvM7IWi0/hCnR+AqgwZii8pcakwBPmKwAar31eFt1+AsB29toVW/XyUCtRozc+qO3oG/cLlTLzW4Az6izNH4oWZoxEREmAvRq+vT/ekNv8MaivyodeUQ6YKgiKwLZRtk5yewsQVsIQt6qVZqLkqwgUhnn0Y2ivmOe+b07azvlRY8kHmGwL/7pPrBHvSJMj9QpvjKl/LBJgAEzAjUFtZCPXFHag48CWqTvzP+J6zzwS3uWMlAnvfzPRbAQGduhx0ZLOKRPnpn6GvqT8W21T3OQ+6e28OFugO8P7000/x4IMPGq986623zFavrZns0aMHTp8+Lbzt5+cnCGo6t93cQoHhJkyYYDTz8MMPm63uW7M/ceJE4Wy4odAKNwWOs1QoAr3pFnXaIk9b95sqtHOAVswNZ947deoknIN3RXGHQCe/0754EMrUz4xdcNYHli6gExS1tNptfbtuU9y0ehlOVUXhUEVHHLz6k64Oo/0arsBttBkVFoToyBBEtwlBxzYhV/8dKvw2/D80wA+d73oLmQWlxuucFcXdYNDXR4lbR/bGgzcMxrCe5rsLXAqghYxTNN/yvZ8JP7WlmY28oGMSQYPnCduxFSGu2bVib9eFhwkFZ+u2pmcdQk32EeHfuop8e001qi/3D4cP7TLp0Afa4nThi4ehOGuO2nRS4QO/+DHw7zkN/j2mQhkabfMSrsAEmAATMCWgLc2C+sJ2qC9sE37X5NYfFTSt5+zjO5Ar4ZcwBn7dJgoPG4WHvG7IwMOj7x4CuuoSYYW88tgPwoq5aUT1pj2g75AUeaiu+HZIQdT1r0CmsB1Tio6l5f26EOrsY/VNyJWIXpABRXB7p3fcXTrA6Y5bMcgC3QHSU6ZMEVKqGUpTwtbUPG2B/9vf/mZ8iSK6z5gxwwEPzC957LHH8NFHHxlfpK3rFKjOVqEt8Pfff7+x2nvvvYenn37a4mW9evXCiRMnhPcoh3pJSYnwkMFWoS3wFOneUCiQnTO39hvsumtiPjfxDjzcZzl8ZPXntpv7gVWjl2PethkILq6BT5tadGhTgi4RRegZnItu/gWQO6ixr9T441BlxzrRXt4RRyrbo0Inbgt7oJ+qXmQLwjvUXIRHhqJ9eBBUPuLOos//4n94a/lu431AedDfnf88QoOD617T1SKg7Ax81PlQaMtRqwxCjW9bVAYnAXKFUMVSHnRL919yXDOB8OYAACAASURBVBQenDwYc67rh/Bgaa2qa4szULxhPiqPrQJ0trMo0JeugN63IGzSEijDYm1NV6e9T9vmanKOXT0vfgiarCOoyTkKfU19wExHG1OEd4aqQ1+oOvapE+Ud+0IR2sn4ZdI5qYgafKmQyUHt1hamiXZbFTOwbmW953T4RCXzl13R5LgiE2gdBIQdRIUXUC2I8W3CSrn2yjnRnXf28R3Thunzzj9pIvy6TYJf17GQq5q/mCS6Y1zRKQRo90XVyTXC9vXq1E1AbY1tuzIZfOOGI6D3zfDvOQPFG15E5ZHvza6j77yRo56Bwp8WgSyX2qpiFGx911ycAwjoMwuRs7+z7YcDNdylAxxwzaFLWKA7gC0sLEwQqFTatWuHnJwcUVY2bNiAyZMnG+tSQLl//OMfoq5tqlKfPn1w9OhRoYpCoRBWrIOCgmzapW35FFXeUOgMOp1Fb1iKiorM0qQNHjwYu3fXi62mGvrkk0/wyCOPGKu8//77ePLJJ236Zm8Fd0zMmqpqdJzwPF7t/jumRdTthDCU5nxgrSnsjicuTrXY5UC5Gn0Dc9AvMEv46R+YhQilYyKnVi/D2epInNHG4bIqCSXBPeHTNgkdI8ME8S2shEeGCivfIQG+ThUU7/60EM//Xxn0+jqxTSW5awJemj0BndK/RIfzn8G3qvFKsNo/GlkJ83A57m4sXvYLTp4Tv/XZT6XEzJEpwqr6kORYp/bH3vvTGfXVl/cj/8sp0JXXxXWwp8iD2oHSmvjGDLDnMlF1a8vzzYQ4nRmnbffQ1z/EEmWoYSW5UhC2JMB9OvatE+Ud+kAeYP3ojsFEwbLbXfKloibvNCpP/g9VJ9ZAc6k+Wryt/inbdDWKdd/YIV5x/MBWn/h9JsAE7COg1+lQk3/KuDpOK+SWdkCJterK4ztmPihU8OsyEn5JhtX17l7/91QsY2+rV1ueJxyFEET5+c3iHuTL5PCNH42AXjchoOcMs113tCiQ8+GgRt87aGdaQPxIBHefBFVkghGTpuAcyk5vRGXaNugbxIyh7yHtH9vjssUCd+gAd94PLNDtpJ2VlYXo6Pqti7RNnIS3mEJC3jRIGm1L37hxo5hLrdahM+S0TZ62k1Pp3r27MRidLcP09JauNaSBozPphi34ptdShPdhw4YZX6I0ayS8xRQS8hQl3lDoaMC//vUvMZfaVccdE/PPr37E8G/3oKNPKdZ2X4q2Pubndhz5wMqrCcS003OQVRMisr96xPkWC0K97icT3f3zoZTVb0ESaUioRluDheBzsYOhiqXI8YMgb+KpqD22DXVrdbWY8X4Cdu7viysF3YWXieH86C24IfwslCa7EazZ1+rl+LmoG5ZkjjayCglNR5A/kF8Q3+iMe0M7vTq3E4T6neP6IYwu8rJC4jzv0zHQayosek7bHWmFQ6epsLpKLVMFImreHw6LdPpyqS26gBpKaSYEb6MgboeEM+TNLTLfYEF8G4U4ifJ2PSFTitvx0bB9d3ypoJX6ylNrUXVyLarP/S46gJ08sC38e0yBf/I0+CVeD7mP992PzR1vvp4JtAYC+lqt8PCybrv6DqgvbofOJBe0WAb0+a7qdK3w0FN9oT72j9OO79BWdr347xCKsLi61fWkSfBLGAu5r+0FIbF95Xr2ExD+Fp34Qdi+LtwfYh6O05GGruMEUU4BTxVBba02fHjnz/D7300IkFtegZcp/eq/f2jrtEjDUqnzQfX0H9B3qHNzn5u24w4dYP/oOH4FC3Q72TUM9jZv3jxQbnAxhQQxbQvXXM3hHBcXh4sXL4q51GodSmlGQeoMhaKzm54rt2W8W7duSE1NFaoplUohh3rDYHcNg71R6rYFCxbYMi283/CBxqhRo8xSzokyIqKSOybmylf/DzN3163y9g7IxvLE7xGocPwDq6LWB7elzsKxyqbPCPtAj3YBKkS3DUNMp3aIadtgu3moEm2rUiHPPQB1xm6oM3Y5tMoqdEwmg0/bHlDFkmgfAlXstXXbc5sRYO5C/knc/nEfqNXBOH7kDnT3KcV/E1Y3esAhYphBDzTmnr8Jp2tC0KvPt/D1LcOHd+7FHwfL8On6vUjNLGjSjL+vD24bVbeqPrh7/bZoMW23VJ0mxWbCKAQnTWzwBPs8ys5sROX5rRaeYEeh/WN7bT7B1mvVdSnNruYXr4umfqTJCK9i+VAUdMN58brV8X5Qhndp1j1mqW2bDzVEfKkQ+1BDpy5DNTE/uaYu6E4Tqd9MfZX5BMAvcXzdufXuU6AIbCMWI9djAkzAwwhQmir15X2CEBfOkV/8UwjeaW+h4JO+nYfDr8sI+HYZCVX0NUK2CJcc35Er0eHp48KRpKozG4TzyXY9dFWo4NtlBPwNZ9ejevDqur0D7kB9bfGlusjrx1dDnf6nuAcstBMicfxVUT4VioAImy1n5BVj4GMfop0mtdnf23JVidj34WOIjbK+Nd6mQ01UcIcOaI5/9l7LAt1OYl9//TXuuusu41WLFi3Cyy+/LNoKBWGjCOtUSBBTBPbmlO3bt4MiqhsKRU3//PPPRZuks+p//PGHsT7lUY+JiTG7nvr46quvGl8jBnfeeaeoNmiFn/Kla7V152XpYQJFkHd2ccfE/OKJxbj/dH2gs+FRZcIHlkpt/5ZjjV873HvuJuzIu3oGG8BQnxqMnTYGnaLb1p35pkBrESGIDA2A3A6BLJxrK7p4VazvhiZjtyC0RJ1ZtjAwwpeFToPqRXunwVaFhLa2BlnFF3DpyjlcKkzF5cLzOJm5F6ey6jIEtC8Lx2JZifUHGyJWgunBxkv6UOQEFwk2o0JiEBeZhMjgGJQUR2PvcRV2nyiHtrbpFYGU+PbCWfU7xvVDaKDteArOvmfF2nPVdm1D+7qqYmNO8ZosCtx2CDV5Jx2+X4z9ksmgjEyqSxFI58WFc+N9oQiKEtv1ZtdriWMBFBhHnba1TqyfXIPaksvi+kHbDDuPELbCByRPg7INpw4UB45rSZGAN2SooAdz6vRd9YKcjr1o1XYPB+2qISFuEOQ+7XtbPQbj6r8H9P2BxHr1mQ2oOrOxTvyJiXdytdd1q+sTrp5dH8er63bfDdYv0F5JQ+Xx1YIwF3vEila3aaeDsFLeY4rdmUZmL16G77ccEZxyxs7HWaP7YNlLs51Ipd6UO3SASxy3YpQFup20G56ppjPkdJZcbDE9L07X0PZyMcHWrNlveK6dznfTOW+xZdq0aVi7dq2xOp1Lp23ypuXFF1/E3//+d+NLYnKmm15Pad9KS+uErT1n9k1t0MRrqmRnZ2PQoEFClb1797ok3/qv//gac4/VR1mnfN5fzZ+L+CPzEXlpNeR620G7dDIlCjrdjLQ+S3D3m1+g+upuCvL7vymhuO4py3nlxY6ntXpCxM78Y0DOIehzDgA5B4GKXIfNakM6oTQ0Fll+4TivlOOkpgTZZRnIL8+ETm+eUs3QSBudHovVOjR8diocDbBzJbgYwEu+clyxEkGvRuOP/LxeyM3tDXV102eW/VVKTB2UiDtG90LfLlEe9fRfX5EL/VdDzL4g2R+UcBHU2XUxKoQiUwB97gdKLwL5J4GySw7fB8YLlX5Amx5AZDJkbZOByF5AmyTQCnFLF31ZJvQ73wTOrxf3RVOuBBImQzZ0AWTBzYvETl92kX8c+gubgLRNwJVT4nG06Q7ET4Csy3igbS+Pui/Fd4JrMgH7CNBnHk4sg/7Ed0CFhfg+ge0h63UHkDwLssB29hlvZm19VRGQvQ/6rL1A1h5hbsPK37smmwrqCEQPhqzjYIB+wuJFz2/h82zFjUCV+W4xR47YIaAtZLeubfJzTq8pAy7tgD79DyB9i+UxsdZZuQ/QcSBksWOAuNFARDfR/WzmUEnmcn1RmvC3S09/v+h+E1OU/kDncZAlTALixoJ2gjlScosrcO3zX0FbWx9PxhA7KCb9K3Q8/6nF2EHV/jHI7no1dtB3G81iBykVcux5525EhTrmU1P9MNUBlhYbHWHQktewQLeT/ttvv22WUo0EO53JFlsowBoJSEPJz89HZGSk2Msb1Vu5cqVZujMS00uWLBFt77bbbsOKFSuM9fft24cBA8wDST366KNmadvooQCdvRdbSJTn5dWtMtOZ9/JyB7Z8eUC6jz6BHXBkaP3uCeqPIZ+3qiob7c9/YfMDKzv+PtT4t4elfN4pO7/CUUtfSMSCtrNeh2CgX0fgmui6373aAb5Kx0LG06mj83IgVS7DWbkMqXKgtMGYPaHRYViDVe3mBNf7UyHDP1XyJntN+qi0JBa5OSkoKuxqFqTO0oUqeS4CtUegLDmJmhIN1CV6aEqAWvsXRewcDcvVnxgKPDuifkycduawGd5dqdTjRC5wMg/G3xcKARsbFprRonMujQoPwKyhkbg9sRAdfBuf5c9SB+K7sxH4fmcB8ovF5YW117NOocD4ROD6RGBQDKAQmaIhs1SPX1OBTanAnkuAtpnx9+z1m+szAVcT6BgMzB8NTE4CfBS2/w7V1Oqx/gywZAuQVeYa76KC6ubp4E7AoE5A97a2/bLkybkreuy9BOy9DOF3Zv1GPIcc790eWD4bCFRZ9kfMmeAKjR63LQOOiYtxbPQzKRIYHQ+MiQcGxIgbK8PFl0v02HoB+OM8sDMDqNA41H3JX5QYWTcPJnUDekSJu+fK1Hr8dg7YcAYC42rb60W2OcYPBRJGGOtR9p33FryAEEMQaiH7ztmr2XfKUKsMvpp9p1vT2XfObQcu7LTdfjNqsEBvBjxvvbThdm9KVTZ37lzR3aHt6LQt3VAoLzjlB3e0NNxyT6ncFi5cKNocbdcnG4aybds2jBhRPyHpddo2T+fQDUVsGjdD/djYWNBkoUJbtWtrLa+wNuW0J+TjVECG8BGPosCv/slfo3zeIj6wqJ9frFyNrfv2G7scWV2Bou0fodYk36ToQXS0ohzwDQP8ImTwiwCCI4Ge7YDeYTIk++mRqAeixMeNaeRFjgw4Jwh2gP79gkYP06RszV0Jpr8/j/jJUSLy4Y1GEyCsqufl9IZayBFvvcjlGkS2PY2odkcRFJwLrbpOqBsEe8PftMjgyEJKkz7IgJ0PAx2C6/9Auy1q71XHLhbpBSF+kha16CcPyLX/+Zqjd6hzrvMLBhJHA1F1Kfvk0CHerwgRykoEyTUo16lQqA1AWnU4dJALKf+QdwZI3QJUu+ibP4Bwf2BsQp1gH9UF8PcR90WspFovfMH9JbXui5i7vuTSs4SECCAiAAj0ASpqgMJK4HwhoGvG54RzBpmteDMBEpz/vQVoGyhuDpj2Na9cj7mr7RealnjRAzQS4wZB3jncfn90ej1O5dU9SNt3VZAXuOB5nycwC1IBw+LqBDv9dAwRz0tTq8e+S8AWEuxpQGrT4WO8+fYW5XtyFDApqU6Yd20jjiP9LaC/AyTKd1wENPZ/tW7CNxkw4mGA/n5eLY2+74rqWePvu8Lf1e0UaNp1fzhYoIscHClV4xV0CFHr3b2C7glb3Ok+/uudr+JzVf0Z2kb5vEXc7JbyeT+gycOr34h/sCKiGaFKrU4rbDvPKb2IbPopuYic0nTklF5AXtll1NrYlh+m1yNRB3TT0W894nWAY3G1zT121krw//wC0Hb0WyiszEZ+eRYKKrJwpTxb+F2upo3wjQutqpcUxyEvNwWFV7rSY6MmcQYG5qJ9+8No3+Y0/JQ18AHgowdUFEcCdb999DKE+4Yiwjcc4b5hCFOFIMQnCCE+gQhWBiBQ4Qdfmbwu0rfwU331t7ruzKLwmslveo0itleaL284nvf2PHLWPdvEEwkfYUu6sEU9sidA29Tb9ADFH/DmcuRCLu754CcUlNqfmrBtSAD+++QN6NPF9dtohfzwl7dDn/YrcOFXoLpQHHa5Cug0rG4bfJfrXLLl15O3HIuDxLU8mYA+9wj0/7sNqLGsYsVkqIBPAGTTl0PWro/oruop0nVhKpC1F3rark4/jhz7oiMxUX3qtnLTdvUOAyDzDRXtR3MqtuTxnYZ+C8d5Cs8C6X9AT1vhs/cBOjtiLNG2/7jRkMWNAWKGQaZyX2R4ineA4vNAVSFQUwH4BAL+EUBYgstSYgq88o5Cf/5n4PwGoCRd3K1Aqyl09ClhMhAzBPRdyhXlbGYhxr1inq/csGPU3vYuXs7Eq//80OyyzX+7HYkdbQeps6ct3uJuDy0J1uUz6BBypVPOdLHFGWfQbbXlruAQqdv2osfCVag1CdpGZ3Kem3uPEPTPVqFgee/850uzMzkKnQ6nX78NXYdfY+tyi+9TGrOcknQhINulK6m4VHhO+PflwnPIKroArT1/JG14oNDrEauvE+zJMhW66YGIGvv3fztrJVjjE4DoO1cLXwQo8jidta/7UUNTXYqyijxUVOSjsrIAVVXFUFcXQaMug1ZTjlpNBWS1ckATAJnWXxDevjItVLJa+Mq18JXXQiWr++0jIhWcQ4Nnx0X0RbXTncvsuMK86qWvZwlsDMW/1y3w73GDkF/chyLvKl3zh95hh5t54f6zlzH6uU9RUW15HyXFkAjw90NlVTWq1Zbv4UA/Fba8Mw8DupkHzmyma01eTl8WKRMD5bKlIHPaK+dFN0dZF+qCzE2HT5R5LBHRRq5WpOwBxRvmo/LYKtFn9wN634KwSUtsZgmw1xeuL00C7sxQYZ7yjCKsU8ozkQ/CTPAbUp5R5HLKDU4ZTyjFZUsWiu5evu9zlO/51GJedUVoDIIGzUPQoPuhCG7vFleFzBbnfjcGm6stsSPWicIHvnHDjanchJSbInfK2dM5gdvez4QfS/noFSHRCBo8D0ED7zfLDW5PG6Z1KVWp5tJu4TOVAr3VFmeIMiUPbi/kJw/odbMQTFCmsP1dU5ThJiptPZom/P00FPp7+emi1x02O+/l18xiLm19Zx5Gpjg3EKq7dIDDEOy8kM+g2wms4ZZy2k5O28rFFldHcaft9rTtXmxxJIr70qVLMWeOuGBmFMVdpVIZt7V7cxR3A9PEqbfiXHV9ajt6nUT6w7NvQ2hw/XaghmNAK+efLFtuJs6pTle/80hdu7LJISMRnluScVV8n7saJb1OiGcVpTlVhJs6EuwXjk5tuqJTBP0kIiYiATFtuiImoitC6QkzrdKX50GdsQeajF11vy/vtZqv22DbZSvBYm98L6ynCIxE9EzxGRoadjFz+X2oNcnB2/aedfDv7rqcpC2J2JAaJq/YfD8+7XgZ0q8vxl07GJ1j6gPA0RP+33fvwa5Dh6FpkFkjKizIpalhmuIkRFTOOykI9aoTa6C5vE80VmVkNyF9G0WEpxzK9qRKbIno96I7xhUlQ8CVEcmNKc+EHOTboU7f6dSUZ544CELk+4KzqC3PBwV3k6mChfzW9FkgkytazGXD55gxMvzF7UCt+NV1RWgn+CVNgH+3SULubrlf83Z2ufPho/DA9eIOIfp6FYny0ixR40APVYTI671vEVLeunr88ovLcTIjDyfT83AyIxdbj17AsQv1O/giwkLx/kvzRfluqdJTbyxBYUl9kOU1f52DqUN6OmzP0oUs0J2K0/uMSS0PemJiojHtmSvyoGdmZpqlbfPmPOh0txaUZWPSmyk4cmQWamrMn5oLX/779sG4IdeaffmngHCbd+3GrsNHGn359/GpQJ8+32PjS8cQFtAWeaWXBPFNq9+0Em5YDScRXkPboF1Qgv3CBMFdJ8TrRDgJ8pg2iUYRbk+ztFJRk3tCWAXUZOxB9fnNMH167uyVYHt88+a6zuYW+cBmBCSM9mYkVn03TQ1jqNSch2iuTA1jzwBoSzJRdWqtINar0/4Q/SVXHtROSLET0HM6/BLGQeZjPa2gzfzxIlIhis0fb0/fua60CDgnp3fjDBVBQx5FTdYhqC/vdXnKM2mNiPt6U7e6vhnVZ+tSuYldSRY8lCuFHPH+SROF9GE+7ezLcOGOh4/0HUidtqUuJdqJH6ErF5eKVxHeGQG9bxZWylUxg+x6qCpm9OhBSW5ROU6m5xrF+Imr/y4oaRw41dSms1fQv395Am4bOUaM26LrsEAXjUqaFemMQ8eOHY2dmzBhAjZu3Ciqszk5OWbpv+gcN53nbk6hFeqgoCAhXRuVpKQknD59WpRJmqwBAQGorq7b9krp1SjNWsOya9cuDB061Pjygw8+iH/961+i2ti9ezeGDBlirEsR7+mYgLOLuybmF1v/hs+3/BXlZe1w8vhM6HSWtwX7qVQI8PdHZVWV2bYe035TILLkXiuEIGShAZGoVJe6TIQH+YYKAjwmIrFuNVz4NwnxRIQGtHH2cJjZqzr9M/K/vNH4mrNXgl3qvA3jNXo5NDoF1HoldHIlFCofKFQyaKBDta4WlToNKmm7PfTQyuh1gNYNhB+Zyb8b/l8mQ4hej/trzIOoOL7z4Bxy1j1n1hvdPWvRufuUlsTnkrazr5Qi9s4ljVLDNOcYCqWGufTtArSPsL5DxiWdacKorroEVZSr+MQaVJ1ZD71aXEA7Es9+3SYioOc0+CfdAHlAfRpCd245djcvbs+zCJT8thAlv9VvmXVWXBJ7e6kIizXLQS6sNrtgO7W9frWW+vQ9VJt3qu6z7OxGqC9sE/3gkRjRSrNftwnwT6LV9euaXF135cNHvVaD6vO/o/LYamHHk85kt1pTY6mMTBQEOf34RPd3yr1HTLOulBpXw09crFsVpxXyojL747EY/Hf0DLqlrEWrFo7EzddOdupt7i4d4FSnmzDGW9wdIB0WFoaSq1s1oqKikJsrLp/0+vXrccMN9VtKKX865VFvbunbty+OHDkimFEoFCguLhZEu61y8uRJ9OxZv8WEzpXT+fKGheyFh9d/iaN843v27LFlXnj/448/BqVpMxTK0U652p1d3DExaZv5jPcTkF+WKbhPIj0t9RZUVllfjbLWzwD/asQnrhLEubNKvQiv24IurIKTCBdWwts45YPfEV+r07b+P3tnAt5klfXxf5s03Vfa0tJCS4ECBUSQHVkUUUEFFEcBcWQU9EMdB9FR3BFnHBzRUcdtBBXcEEeGVXBBBGSTXYEKhdJCKZQutKV0b9rvOW+aNGnT5E3yZunNuc/D00Lv+rv3Lfm/59xzkP9B05tSpS3BPoFR8PUPlayClF7GR+3f7GsAIP2b/o/5ejBuS32p/HV9qvxxoawWX+04js+2pCOrsAI1DSrU1KuhNRNgLizIH3df1x/3jx+EK1LiUVdfh4uX85BXegYXSnOa/lzKMfzbJQpO06z4NDTgnap6GL8+UerufhGN9cBm9OssngV9wWeb8MInmww0W6SGkXGIzQVyXPDHsXhu+hgZrV1fhWIuVJ3aonOFT18r242Sotr7dx6FoLQJCEybiJJvn0LFr1+aLMCRVIhBfacgeqppoCHX0+ERPY0Auf2eW5hscu9Xqd9t1taqjukO/f1x/+QRUEcmWWvCP3chgfrqy5LXXdXxDfZZ15OGN1nX4/oYPvc44+WjKjgWlSe+14ny39eioarJhdsSMr/YNASSpbzP7TZ7ABj3S0I8p6BUZxE/nQ+9NZz+fqnC9thA1rZZqSjuGk0Zflg0HiMVvmLnCh1gjZGSP2eBbgfNm2++Gd98842h5cmTJ0F3q62VZ599Fn//+98N1f73v//h1ltvtdbM6s8ffvhhvPPOO4Z6mzZtwpgx1j9ILlmyBLNmzTK0e/311/Hoo4+aHa937944evSo9DM/Pz/pBUVgYKDVuU2fPh2ff/65od6BAwfQr18/q+1sreCKBzOrIB3T3jWNEvunW27Byg0d8eOOAGi11lNjqFQNGDO8CpPH5+DjdetsXSaC/cMahXejCG+8H06CPCIo2m0i3NJCai+k4/y/eptUUdISHD/3qBTkzBVFq63Hxr3H8Z9vfsGGvcdRbyW/1JCenfDATYNwx8grEBTQehC2yppyXLikF+9nkFeag8M5u5CUsQl31DVZ0ZWyMq1Q+2DYH9dheKqyb7BdsQeWxqD9Sbp7IXILmxINK/WhIiE6DKc/nQeVynLUf3czkAIR5e5HZToFmVsrXTextziaCpHcUROeOuOywFT2rpPbuZaAsv8nWMhQ4eMDv7i+jYJ8BEiQq0Kdn5XBtTTFHa2ldZ3ursu/6kdB3vTW9fJfl0t3wI2LIy8fyfOCggw21MjLO+oX31dnKe8z2ebPK+Qpe/pCiWQBl0R4o1v672fycblSPg9rJ0WlqkdwUAn8/C8gKKgIFRXtUFTY9NlKqaxFiZ12YO1zL6NfkmlKZ2vzs/ZzV+gAa3NQ8ucs0O2guXjxYtx///2GlgsXLsSTTz5ptSdyIT9+/LhULyAgAIWFhQgOdjz65w8//IDrr7/eML5cN3Jyz//+++8N7TIzM0FB7MyVZ555Bi+//LLhR19++SXuvPNOi2sm1/n4+HjJok+F8r1T3ndnFFc8mAeyt+GhZU0vPgI0arw6V8eg8KIvVn8fiFXfBiG/qGUwlthoLW67sQITr69EdGS91Obx11eguoayeZuWIE1oowu63gqud0nvisigGI8U4Zb21JnWEvoPuMO8bKcHUDG3PgpE9uG3e7Fk417JncxSiQgJwN1j+uOBmwajV7K8D4h03p5Zeq1kRXcsf/wCVJ8/bJiePn/8yP4zccfgh9Al1rY7fM54fpXqkz649Jpl6pVkr1ueudQwS+ZOxpUp8YgMDURkSCDCgwPga5TRQal1KNlPbeHJRsv6GlSf3gFQeh8ZRamXQeFjX0T4GPmBVGVMjau0cQLO9qoK6jsVwf2mwT9pOHwDI9o4LZ6+nkCTdV1/d11majIzCB1++ShjWzSJAyRRHkju69GU0tVyoRfMWXkXdUI8u+me+O85+aislh9Uz9o4Gj8fREfUQhNwAfW+pxAQWCQJcv+AUvj4NP3/UFMTjIP7ZqGhoekzraNZi3x8tOg34AOsnLMbyTHKGlZcoQOssVXy5yzQ7aBJLu2dC7i3yQAAIABJREFUOnVCTY3uzRVZz+nuNlmWWyvNg8vddtttWLlypR2jt2xSW1uLhIQEFBQUSD+ktGbZ2dkgV/zWCln96b46vZmj0r9/f+zfv7/V+gcPHpTq6MvIkSOxdetWi/P/6KOPcN999xnqzJ07F6+99poia27eiSsezB0ZG/D48omGoSPDgrDgQVMPCK0WOHNOheJSX1RU+iIosB6R4fXo1EELVTPd/tw7q1BS1pT79aHr/oHxfe9GZHBsmxPh1jbVWfcNPeHDf51Wi29+OYYPNuzBxr0ZkPKbWijD0pIkq/ofRl6BQP/Wf2foPTYeqanHcK1pn468+d+h8sFbmiYrcFx4Eq5OvQlXd78Z/ZJGQqNWItO9tRPh+M+JM92ny75QLH2ooa/bj2Rj9c50Q+dKB7ZpPmu6qxoe7I/IkCBJsOuFe6vfNwp7vbh3tTWeMi5U/r5esqxXnfjeJO1e87Up5XLszpdojp8y7kEJAhQvgTw56E9N3hFUZW1D3XndtTwqSsclETlDhRL7IUIfknW94LgUf6Pq+LfSmZJrXVfq5aM5jppOQ3WB3nrdBnVUslnU9Jkh89xFE2s4uagfyylAdW1Lo429+xUU4IdOsRqEh5XDR52Dcu1hqDS58Pe/BLlhFk4cvwlFhaYpOx0JuNou+hiGDTiEVXMyoVI4s4ArdIC9e2FPOxbo9lAD0Nyt3FK6NbIkX3XVVaA731ToQx2J4dZcvUlcd+7c2TCzpKQkSXBbKosWLcJf//pXQxVL6dZIlJPF/ccffzTUl5PbvLlrv6V0a+QdQPfb8/N10SvJHZ4s9GRRd0ZxxYNpyYJuz5qaW9DfnbFZcZcfe+bljDbKROw1tQR7ovvs6QvFkkWdLOvnL1oO2kVi7o+Nd9XTklpa1fUxD+pLz+Ll6no0f91GHzKCUkYitMc4aKKbrtjUFJ5E2bFvUXFqGxqauQOSL8vT/r4o8jV/HSNIE4LBXa7H8NSbMKzbOEQGxzjjOMju83JlNbLyGgV441f6u16UW7tnp3RqGNkTl1mRLPCyhL2x+A8NRERwoMOu9vU15ajK+F4S6xXpq1vcn7T/GkpLl2NXXkORiZ6rOYEAnSlyX6+9cKRRkOu+15aetTia0nFJYu/fgoCUkU5YIXfpqQR01vWfmiLDF7f+mVmpl496FpSbXGcpvxXq8EQDopraOpzILdIFaJPSl1Easws4frYQtXVaxVBS3JuenWIQH+2DoKCLqPPJxMXqvSiryZAtxJtPhlLshgVG4VRePo78epdiWYt69/0cD9/wGO4d9Yxi69d35AodoPikLXTIAt1O2ufOnZOinpeV6T6Ek+gmkUyB34xdHsmqfccdd2DLli2GkaZMmYLly5e3OrI9Ap2iuJNFPCcnx9DvY489JrmlUx5yfaH50r3zFStWGP6Noqzv3LnTKolDhw5h4MCBqKvTveHz9/fHxx9/jKlTp5q0zcrKwoQJE3DkyBHDv8+bNw//+Mc/rI5hbwVXPJjm7qA/MWMcOsbp8oHbUs7kFeHVpabR/5c/+JviLj+2zMnZdZ2Z89bZc7e1f/rPd/3u3yWr+nf7T1i1ql/dOxkPjB+M20f2RoCmyaquzxqQUt+A56saEGjkfmY8JwqO56sJBn1AbqjTZWVoXiobfLAgwAenWhHnzev7wAe9Ow7B8G5kXb8JKTG9FPfsqKqpRbZBcDdZwvWivOhSk4eJrXtA9Z1tQbdnTkq1oQ9l5i32Qeb/vdF6T9ct1M3ceSpPbkbBkusMU1NaMEVPX4nAXpMUPz9KsXRmP1Ju6oLj0JZTburL8NGEQBUcAwpW5uzcxs5aF+UYry04ZhDiNXlHUZt/FNqLWXYPaf8LoZYZKviFkN3bIETDJuv6RlQc/ho1Z3aZrMv+s9by5WPsA1uBhCHIOFtoiJquF+MncgtNsok4Cpd+3/dKai+J8bh2gJ8mDxX1R3G25BdkFRyFtsE+0a/yVSM1ri/SEgahF/1JHCRl+Cm6nIdJb6SgtLSdYlmLwsOLsObRLLQLiXMUR4v2rtABik/aQocs0B2gTYHiSIjq3cSpK8orTgHaoqKipPzi69atM6RAo5+npaWB0paFhYW1OrI9Ap06owBsI0aMQEVF04daSgk3fvx4tG/fXhLva9euNdwJpzZxcXHYu3evSa5yS0govdrs2bNNqlAUeRqXUraRqz9Fq9eLeKo4evRo6a67pSsADmyD1NQVD2bzKO407tC+XTBt3BCbp//Fht3Y9VumoV1MaIJTXH5snpgTG1iMomqjJZjyOsc9/AvUEZ2cOGNlus46fxFLvt2Lj77bhzwrVvWo0CDcM1YXAb5Hp1gUlp03/AepyhyFD1PWIMbPdtGaXxuMmacmQNtlK8LCCjGu73Tsz/pJiiIvt3SI6CwFlbs69Wb0Sx4JP1XrQe/0fdKLCrqrb3BDl6zgxci6cFES5ta8DOTOzVI9e++gm0sNQ9busspqRT90KbFGW/sIJXFPVvlGy/ywgGN4oPYNQzdKuxxTxyT61ZGdoYpKgTqqM9TS1xSo26VI/+6rCbJ1GR5dn7yGLu9ZLP3RXtJl/jAu5PofMvh+hAycCVWYczzLHAVEqaNqCzMareFkFddZxOuKMoEG3fU4pYpSVk2+UqHUjojRj7PjHcwt/j+sOh1uNWCsLTSjw4PRKykWaZ3aIy0pFomxfoD6DM6XHkT6ub34/dw+lFdbjntjabz4iGRJiKclDJTEeGpcPwT4mQ/6/PzK6fjhyAopa9Hx329tYUmXsy4/v3J077lKylo0tvedWDD5MznNbK7jCh1g86QcaMAC3QF41PTTTz8FBWUzFsWtdUlCllzJk5PN30vRt7NXoFP77777DnfddReKiqREShYLudHTPXhbo6q/8soroIj0xiK8tYGuvfZa/Pe//5VeWDizuOrB1Fs09WvxU6swf/ZEhAVbj2ivb3OpvBLz31tj4uI0a/R8p7j8OJO5PX1bzUMqwxJMeZxj7/8J/okD7JmC29qQWF27K12yqn+//4TVeYy6ojPuHz8YO7L/hcUrw6T/GDv4XcK8hC0YH5kBPx/rH5ApT/uG4lQszB2Nc7VhoP8oZ//hEt6csUyy6mfmH8b2499ge8Z6pOfuRQPkBRCjQIaDu16PoV3Ho3PU1bhYCkl464W4/vuzhaWKfnAxB83X1weJ0eFIbh+JpPYR0h30MqMUM0pHcafxyqtqpPvvxZcb/+i/N/dvVMfo35V0bbR6iGRWGBxyBl+lNqVXU9qCLmcavqFxTaLdWMBHpUAVGg8fDw/Gp18jvYgs2ThPstyhXsZ9Ul+1lG4pYtxCt71wbNDWoe5iJmrz9K7puvviJM5lrUHWBqtAOcY17XvDr30aavN/R8VvXxlaKnUv2BPiksjB4Yw6FGTs+NkCFJSWS9G9QwI1iAkPRvfEGIevxDhjvq7os/zoOhR92hQ7SOmXj386ORmbL1nP4mRure0jQySLOIlwvRhP6RCG4soMHD27R/o/+cjZX5BXan8wPMr8IwlxSZCThXwgokLkBaqlOdNL/HsXD0VxeT6qq0NxJnskLhZ1Mwkc19o+UkC4qHYn0Cl5G/z9yxAV3B4fztqJuHDnGFZcpQNccW5pDBboCpCmyOzkwk0WdQrY1rzQvWtyK6dI6Mbu5q0N7YhApz7Pnz8vzefrr782++KAcprffffdeOmllyxa8i2hoTzoJNIp+J2xB4G+DUWDf+SRR6Q/5P7v7OKqB1Nv0dQaffBKTYrD7DtGt3AbNbdmCg7y3lc/IeN0U/5zci9ylsuPs7nb0z+J9IKlN6P+si4+gS2FLOcUAKitifPmazx1vgiLN+is6vklltO0+Kl9UVtnKsaHd4vG81eVoHPOMvhXtrTOVQUmIqvjPXhpfzh2nCg0GX7S8K5Y9cLMFtgvXr6AHSc2YHvGN9ibuQmVteVSwO/a2iBUV4Wjujoc1VVhjV/DUVUdhprqMFn/Uduyx+bqxkeFIjkuEp3bR+m+Sn+iJFHeMSYcGr+mOPfm8qC/Nu+vCA8NlT0NZ+VBp5ciFVW1RsK+oqXIbybojcV9Ta19LozWFt4toBCb0j4yqWa/G2hLl2Nr41v9udpfsrLrrO5mrO/+IVa7cEUFT//dRin46oqzDAHb9IHbyF0ddQrlTfbxgbpdV/jF9oJfXC/4tW/8E50KH6MAlN4Sl8QV5+580SUs3rhHevlrnGJSPzaliKQrVDPHDUR8u9a9N10xV1ePcWzXKgStmWwYVumXj3/ImIo9lztaXBbx1wvwtE6xoJgz5KZOLus5RSdwNHdPoyDfgxMXfoPx50tbeKl8VEhp31vnpt7oqp4U3QO+Po6lBiWL/UNLr5M+E1Ch6O75F/ogP+8K1NS0/H+V8pzHxv2K2PaHodHoPP4C/YLxzoxN6NnBeYYVV+kAW/bEkbos0B2h16wtWa137NghuVtfunRJch8noTp8+HComofwVnDc1rq6fPkytm3bJrm2X7x4EbGxsaCAc+SOTvfHlSi5ubkgsU5f6R48udSnpqZi0KBBSnQvuw9XPph6lx/jyZFIv2fCMIuWdLKcL1u7w0ScUx/OdPmRDdDFFduilckZiCiIzBqyqn+zB5sOnpQ1hEmak3otgsoy4FddAFVdGbTqUNT6x6AiNBXwVUleLos+Wor0k03XKdQqX+R8/hTiokIlK/rFsgqd9dsoCNupvEIcyzmH3MJy1Gmd/4KtXViQJLhJeJPoNv4+qX2kxWj3zaHRh9VO0xeauKE7mhrGmJmsTXJCJdorSrUjWe1lWOqb17EUHdgX9djZ+33Ea5peFinlckwveZz9jtY3JLZ163tYB5fc9bbqHeQX2BQnorbS7AlRyjuIzoq2NEcnxCWreGPgtvzf0VBr+xWZ1o6zKjIZfu17Q9M+rVGI94Y6tgd8W3GXbd6PN8UlccKvBOn60JNLNuLrnw/LunZDv8duH9EHr8wch06xYqafo9S15LmVU1CCnIJSpB/chtlFc03wK/nycUz6fThZ1U7qn5jqBHiTRbxnp1hEhOg8LEsqCiWrOFnHSZSn5+5BWZUuDbE9pX1YR6QlNorxhEHoHt8PgRrHUzebmwuJ9Me+mChZ0vWlocEHVZWRqK0NhFargUpVAz+/SgQEFpukayPL+aJpq50qzmlOrtQB9uyXrW1YoNtKjOt7JAFXPpjGLj/GMMjdfUBaMkb0TzUJHEcB4bYfOIF96dktInc62+XHIzfLaFLSPc29S3D5lw/M39MMT0TIoPsRMmgmVKHKBxXxJD4ncwuxeONefPzdPslF0VzR+Pnh9aeeQFiIfIuhOWtw947R0KjVkku6sTu4s3gEBfgiJa4dunaIMRXgjVZwuhOtZJn68nJ8uaUpjRP17UhqmCmj+2L506bBMJWcryv6aiHuy5qs9wdPnkP44X/jsQ47DFNRyuX4tXPDcTTkOtzZLwKD4rToqClBfUk26i6ekv7Ul+U5d/kqDdSRyY2WdyPre+MdeN8Axy2KFuNrdBmF0O43Nsu0kImy49+iInNri0wL9LIh7uE9stzdSYgTvxp91HQS4/kkxo+iodpyFglboKvCE3UCPDYNfnHkoq773tdBzwVvjUtiC/vW6u7LOIubnl1q1QPLXHtyrV7/0gwMSG2KOK7EnJzdB7nwU9wSejGhF+BNX0ulf2/ukebMl4/na0KwousnmHLtVSAhbvz/WE1dNU7kHdJZxyUL+V7kFje9KLeVFVmgeyYMaHJVTxyEmNAOtnbjUH367PvupqexOX2lLCs/eYdemzYZD173stPc2o0X5Eod4BBImY1ZoMsExdU8m4CrH8zmLj/N6fhr1Aj016Cyugb0RtdccYXLj2fvWtPspEjHhRnQXqZIx2Xw0YRCFRIj3Vlsq5GO7WVP52X1zqN4f/1ubPnNNCqyUvep7Z1ba+18fWvh718K/4BSKceq/msA/T2gFCpVNVS+vrii4zAphRvlXSfXO2ddf6EPagMffrvFhzV6wTH0yr4YM3QIkhMTDMuhgHCbd+3GrkO/oqbZNSX6MLvn3w8La3EiCJT655rZL2Fnn/dNYhv4x1+B2LHPwUfVlFmgtTPQoK1F/g+mqRApBsLQw/+HgrqmF0oUfX7UFSm49souGNOvK9I6hEBbchp1RTrBrvuTBW3j961lJVDqDPsGtWvd+h6eCB9V0/WJ1sZ0hSWYfjdKFvF8U6t4fWWxUihAV4j0LukaEuEkxkmIBzrP2mrV80DguCT2bhyJ89GPfyDFwjBXKHtFUGAAKiqrUFVt/upCcIAGWxbd7zEinV42FZSUmwjvM/lNlnAS4ueKyqCttx57pTmTR+J2OOnl49WY/PhSjOjTGbnFp3RW8bN7cCT3F5zI+xW1zdKcyt1vyqDSOTYNvRMGS0Hc6O5455g0xfOGy51P83p01XPtgY+wev9iFJS1vGIXG5aISVfNwoT+9zolWntr83a1DrCXn9x2LNDlkuJ6Hk3AHQ+mOZcfuZBc5fIjdz5cz/MIkGjqNetfJhOzNyJ59tlcPP/W23YvUuOnQlKs3v286f53h+gglNWm40ju99hx4huz/1m3NmhCZBdJqF/d/WZc2elqqGWIQFsWYPVDrEaDoMBAVFRWoqrG/AddT/sQa8v6balLlqmkuxfiyZDPMDHqmElTEunRo+ZCZUGkaStLULj1NVSfP2zSds3FHngke4LFqcRGhEhiXSfYuyAlXucuSkVvIW4S7jrxrv+79tI5W5Zpe11fNdSRSS3vvuut74ERUOYu9UuoPv9b0/x8VQi/4e9S/vDaxhRm9sTsaG3BvkFRkms6BWvTfdXdE6cAWu4onn533x1MWhvT4svHfldizJDBJi8f6Xf/j7t/wa6Dh1q8fKRnb+/brnn5WFpe1WT5bia8zxSU4mxBKSxdw3FkD2LVl5328nH8zXm4UL5Dcl+3t0SHxJu4qvfocBWC/eXHTLF3XEfbUWajnKIMFFcUoqK6DEH+oYgMikbHdqlueZngDh3gKENL7VmgO5Mu9+0yAu56MD3d5cdlG8ADKU5g62+nJCuJvjgzpzdZtynYmiEAmyEYm+5eOAVp87USRZvEVEbeISnI3I6M9fj93H7ZTEL8wzGk6w2SYB/S7UaEByqT9cEb3UBlQ29WkYLr/Wf5/7C2xyctUvmRu3uQjakQKbXfxGN3S9kDbCkUg4CE+rVXdpVEO8VKaK3U11ZCW0zu8k2i3fj7hhrzV0VsmY+lur6BkfBRB0Bbdt5QTamrAUrM0cc/TCe+KVhbbC9oGt3TyVLuLO8Ve+fNcUnkkfPE6zt0fcbY5Vzngk7W7yYLuCuuUhkTpAj2dCecMnxs+e0EFiWsVfzl4+PnrkG/AYtN7ltb20V/dSB6drhKF1G98f44WZw97Xm0tg5P/Lm7dICzWLBAdxZZ7telBNz9YHqqy49LN4EHU5TAN78cw83PLTX0GRURjjeenmf3GHP+vhAXS0sN7R+ZNAyThvWS7oQnxoSDYigoWQrKzmFnRmNU+FM/orrOfGCs5mNSJNo+nYZJ+dZ1rvDdHZrWvpNHMeO1/yD9lL+siPOUGiYtpRpLH3sAA7r2cmjsttRYH1yvp38uVnT7EsGqlhlJaD0kSH01waivKUdr7uflWj/ceWIKfq9OwOI5t+HAyXPYfCgTR42yV8hlQ2mISLCTOzy5xocHB8hqKlnfywua3OYNLvQ6Ma+9dJZM9LL6sqWSUsH1bBnTxy+oKVq6Pmo6WcTJRd/ZEfpsmaiMuhyXpHVI7giASWkhzxVdarR+m7qc64V40SXlAg/KOCLw91NL/2fRS+VOMRHS1470Nbbxa0y49HuCzj5ZeXs9PAFlp5MUf/noG38YiR13W5xycnRP9Eoc2JjibBC6xPZW3FtMDjNvqONuHaA0YxboShPl/txCwFMeTE9z+XHLZvCgihBwtgV966L7MfKKFEXmaq2TqtpK7MvajO3H10up3ArL5Lsmd4zqZnCFpzvstrjCG19DsTU1jDdeQ9Fb5/oEncfHXVa2sKRb22f6OVnO7828DYcr4tE8uF7exTJJqP948CR+PHQSpy/YFsGYctAP6JZoEOzD0pJsivBvPP+GumrUFZ82uvdu5D5flImGGsvpD1tjYX+E6EzkrXvMMmK1P/xiejYGakszWMVVEUltJk+8nDNEdTguSUtS5lJIKhE09P7xg3D9Vd0ki3eT9VtnBaegbPSyy1WFvLk6tAvVCW698CYhHtv095iIYNkvnrIK0nH7G8NwcN8s9A7MV+zl45HKWPQb8IEhjRjxiQyKQa/EwbpAbnR3vMMAhASEuwqd14/jKTpAqY1gga4USe7HrQREezDdCpMH9wgCSt5BpyBoLzS7g56+ZK4UedbVhT7sHT9/QHKF356xHsfPH5Q9hdCACAzpeqPOFb7rDQgLjGy1bWuBHPWpYXwQApVvELT1FWjA5RapYahjbwvkaHy/tYPfJcxL2ILxkRkmgeNaA04B4TYUp2Jh7mjJrd1acD06B1l5F/HjQZ1gJ+HeWvaC1sYkS9qwtE6SdZ3+DEhNgFqBlKaS9b2iyFS8Sxb4Rut7aQ4pyBbTUjrHsn/KNQjoMtpwT1zdrovXBM2kuAjHzxZIZ+JyZQ3IZTkmPBjdE2OgUjmW11n2LxwPqqiPE2Gc59xTg4Zawkb33iXLt5HgNhbi8e1CFXmG9XM4kL0NDy0bgxPHb0JRYQ8o9fKxXfQxdOv+Da7pORnXpN0qifL4iGTZLw486GgJMxXRdAALdGGOpncvRLQH07t3k1dPBJz5gSwhOgynP53nER908y/lYueJJlf4mroqWQeAXOH7Jl2ts66n3oyO7boZ2llMhdgrGSP6maZCzMm7iJ8PZmDf0ZapECODY/HRrF0uSRMja+FOrtQ8uB4FWJoS/RumRR8yyZOun8a5mlB8UdgXXxZeYYjWbk9wvfr6ehw9na+zrh88ia2Hs2xOAUhpjkb16WwQ7L2TnXPXuqGuBnRnuvzX5bj0wwuGHaEgawl3LLF7h3JX3AdtRZGhfcyMdQjscZPd/bXFhuTGvXjjHnywYQ+Mxah+LfS764HxgzFz3EDEt7MtvkFb5KGfs5IvbB0NGtoax4iQAIuWb9q7AI31jBBK7tOOjA14fPlEVFeH4sivd6G2NhiOvnz08ytH776fw9+/DIumrsHw1PFKTpn7spOAaDqABbqdB4GbeRYB0R5Mz6LLs3EXAXMuja/N+yvCQ+VHeDWXB33BH8fiuelj3LWsVsetqq3A3lObpSBz9MGq8HJT8C1rk+3Urrsk1imN2//2vY8fj/7XpElqUhzumTAMYcGBrXZ1qbwSy9buQEazu9Jje9+JBZM/szYFYX5uLrge5RNOCShGlLoCIb41uFyvwcW6IJyqikQ9miyaSuVYrtNqsff4WYNL/I7006ip1drE2FKEeJs6aqVy1amtyP/gGsNPlbagx96/BQEpI5WYqsf3Qd4bTy7ZiK9/Pow6rfVUWmqVL24f0QevzBwnVApEOvd5Fy/jbKEusnluEX29hAMnc6VnQV+cGTTU3GEJ9Pdruu9tdNfb2BXdOA+4pxw4vQWd5nO5rD3Sj96Beq1Gmp49Lx99VTVI6/UVQkIvSH28O2Mz+iWN8JTlevU8RNMBLNC9+jiLs3jRHkxxdoZX4ggBdwQFcmS+Sratb6jXucIf17nCU4R4ewuJ89l3jJblOkkfkN/7agsyTucZhlP5qrHm0SyX5nS1d61KtfM0wUSRoncczW4U7JnYd+Is6uttuxtrS4R4ORxrL6Tj/L96m1S1/w76SeSte9ykr/i5R+EX21POVNp0HW/JtlBdU9couEl4X5IEuCTEJTF+SfoZ3fmWc66VDhpKL7O6J0ZLFvAm9/NwdGx0RY8KDWpz7tv5l87ik5//iZX73jM8HyTSc7KmoLRMbfg3uS8fI8JqkZi8wiDOqYPlD/6G5Bjxn9G28AtGNB3AAr0tnDqeo1UCoj2YVhfMFbyGgCem1XEHfPqwpUvh9g32ndqMGm21rGlQdPoXZ09CqMzo39QpWdLnv7cGFMFYX2aNno97Rz0ja0yRKtFLoiUb9+I/G34x63JMaYweuGkQZo4bZDElmtJMSi5XggIp0h12V0eI16+FApmdW5gM7aVcw/KUiuKuCktAh3nZwt85b36lovk5IUtxUGAAKiqrUFVt/pm350qF0ufxcmW19HzoLd9NwrtJjNsaY8HSHJW2oLsyaKjS7I37q6uvw+6T32HN/iXS1Sl60du89ErpjZzTI/HjjgBotT5Wp6NSNWDM8Cp07LQNR7OOGOrHhCZg1ZxMt+T8tjppL6wgmg5gge6Fh1jEJYv2YIq4R7wm+wgYB+4y7kHj54ehV/bFmKFDkJyYYPgRBYTbvGs3dh36FTW1pqmyrAXusm+Grm9VWVOOvad+lCzr5Ap/sVznbmiuDO3bBdPGDbF5kl9s2I1dvzW5lHr7hzGKiZCRW4iCkssoq6xBKAXtighBakK0R8QycFeE+NJNC1C6ab7hfCmVBz187IsIH/Oczee2LTWw+Lut35UYM2Swye82ujv94+5fsOvgoRa/28gCvPfthxV3d6eAgfQy6CyJbyOLd65k+W76t9JyebEzlNyfBY88bMJHbt+eFDRU7pyt1btQmoN1Bz+W/tDLXEuFXtrOnz0RNdXBWP19IFZ9G4T8opZpRmOjtbjtxgpMvL4SGk05v7S1tglu/rloOoAFupsPFA+vDAHRHkxlqHAvohCwamXSaBAUGIiKykpU1dSYXbYnWJmcsR9kIaGI7eQKvzn9a5wpyjAZ5okZ49AxLsrmoSlw3D+XbjRpx+6MNmN0W4NT54tcEiGe8nbnLkwC6usMa/WPvwKxY5+Dj8p6QKwGbS3yf1iA6vOHm1j5qpHw1BmoQuPcxs8VA7vbO4gCE5JVu0l4X4JOeOvuf0sCvLAUdL3C1UXjp0JCu3AkRoflCyR3AAAgAElEQVRJOb87tAuTPFmMXwQoFcXdk4KG2sKZrOW7TnyL1fsXY/fJb81ay1vrz/jak1YLnDmnQnGpLyoqfREUWI/I8Hp06qAFJYXQXXv6ySQ2iTdee7Jlb9xRVzQdwALdHaeIx1ScgGgPpuKAuMM2T8Bb7mk6slHGAYGonwCNGq/OvdPuLh9/fQXo3qi+cEAgu1G6taGzI8SvfXY4rqzbZbJGEunRo+ZCFRjR6tq1lSUo3PqaqTgHcEg9FBP+tsOtzJw9uLPja5CoOl9UZrjjbc79/FxRmck1FmevWd9/kL+fdNebhDcJ8IRo+tokxun76PCWub69LWhoa/tBWTrWHdBZywvKmq6XmKsfpAnFDX2m4lxJFn7J/MGkCgcOddWJd804oukAFuiuOTc8ipMJiPZgOhkXd99GCXha4C5Pw6hPqaOfV2RYEBY8eKvd03zunVUoKaswtOeUOnaj9KiGJN72ZeQaUrrtTD+D6tqmFzFyJks5ua+9sguuSk3Avz/9Cqu6LUOMX9NZoT7I3T0oZSRCe4yDJrqLoduawpMoO/YtKk5tQ4PW1OMlvzYYt534I/YsXejSO/1y1qxkHXNi8/WnnkBYSIjsYcxlqEhoFwYKHZhXLC/YmuzBZFaMDA2UxDbNQyfAG/80fk/W6vDgALsCrjn7pYbMJbqlms5avlGylpPVvEHa5dZLzw4DMOmqmbiu950I0oTAYurNtGSM6G+aevNMXhG2HziBfektU29GBbfHh7N2ek3qTbdsuB2DiqYDWKDbcQi4iecREO3B9DzCPCNPIuCpgbvczYgt6O7egbY5Prkw70w/3SjY7YsQ3yfoPFZ0+xLBKvPu0D7qAPhqglFfU46GOvP3lcu1frjzxBQcroiHp6ZCtLbD5K1QW1ePmjotaurqUF2rRU1tne7v9H2dFpU1tZg0/1MUlpYbulPKXdva/Bz5OcXwkNzOY8JMhLdejNPPggN1KbycVdx9LcBZ62qt3/Mlpw13ywvLzlkcnqzlN14xDRP634fu8f1a1KWrUA8tvQ6VtU3nzriSv0aNQH8NKqtrTDynjOsE+gXjnRmbQC8AuHgWAdF0AAt0zzpfPBs7CYj2YNqJgZt5GQFPD9zl6u3IKkjHtHf7mgxr7x10sqC8uvRbk774Drqrd9Q94+kjxFN0eIoSf/R060EIjWdIIv3zHmsRjlKbJ16CcEw/NkES51TM3Qsmy79e5Oq/kuVfJ34bvzYK4aZ/14liEsvUpuW/N/5bo3jW16M2Ul3Dv+vHbhTdzcakqyDURk4Oc3Nw7A14RoHjnn/rbZt5GzdQ+foiPirUyOJt5Hbe6IYeHxUGEnDuLt4QNJSs5TszNjTeLf/OqrU8LWEgJvYna/kdkrXcUiGR/tgXE1Fcnm/zVpLlfNG01SzObSbnmgai6QAW6K45NzyKkwmI9mA6GRd3zwSEJKCt1+LWN7qY3EvkKO5CbrVLF6WPEL/50ElJsGdfKG51/NfuvxUj899AdM5K+DZYd5uv91GjsONkbIudg8c+WGXSb0RIIMgirRPYWln5sV0KRqHBlE4ZZjwtCramdzOnlx7NXc7JDb19RIhHZCKQi1PUoKHnS7Kx9sDHWH/wYxRePm8RR7B/GG7oMw0Tr7oPqXFXykUn1SN393c3PY3N6SuhNQru2FonFBDu2rTJePC6l9mt3SbSrq0smg5gge7a88OjOYmAaA+mkzBxt0xAeAIfbv0blmx50bBOfUqdsOBA2Ws3lwf95itn4JmJi2X3wRXFJaCPEL/8p0P46ddThoUaC01N5XnEZX6IDpkfwL+yZSCrqsBEnO96P86n3IfaQF209vuffaHVLAzi0gSiIsLxxtPz7F7inL8vxMXSJq+F5+8ag0nD0yQxbi7Ymt0DeVBDUYKG1mlrseOEzlr+y8nvrVrLeyUMwkS6W97rDgRqgh3akcKy81h74CNpbHPB5mLDEjHpqlmY0P9etAsRO6OCQyA9pLFoOoAFuoccLJ6GYwREezAdo8GtmYD3EqAPXZPeSDGxjBin1LFGxlxKHX0bEukPX/8KwgNtT9tmbVz+edsj8M0vx3Dzc0sNEzcrNOu1CCrLgF91AVR1ZdCqQ1HrH4OK0FTA1zT3cnOh2faIWJ8xWbRVPj6oNMqOoLQFfeui+zHyihTrk2njNdpy0FCdtfwjrD+4VJa1/MYr7sLE/vehW5zpFSYltpA8r3KKMlBcUYiK6jIE+YciMigaHdulQtXsGVViPO7DOQRE0wEs0J1zTrhXFxMQ7cF0MT4ejgkIReD5ldPxw5EVJmtyJKWOcUeRQTH4yw2LcH2fqXZFYhYKtJcvZutvpzD68Q8MFJQWmrbgpXvUJH416sY/0vdq+NPXxu+lnzXW8fdT6+oa2qil76X6at33xn0Z6hv/TKrf2I+hL30/zf9dBfJm8fHxQfrpC+g1618my7P3DnrW2Vy80OwOevqSuejZKdYWfG26blsJGkrW8u0Z67F6/xLsyfzBqrW8d+Jg6W75mF5/cNha3qY3mCcvi4BoOoAFuqxt50qeTkC0B9PTefP8mIAnE1AypU5r6xzcZSweH/9vJEY1pc/yZCY8N+UJOFtoLn38dnRLiGldVBuJY5XKV/kFOqlHCm6ZdPdCUG5yfVEqiru54HpOWobHdeupQUPPFWfprOWHlqLocp5FbiH+4ZCs5Vfdh67tr/A4xjwhzyUgmg5gge65Z41nZgMB0R5MG5bOVZkAEzBDQKmUOrcOuF+6o1hRc7nFKBp1AGaOeh5Th86BWuXH++BlBFho2r/h5vKgvzbvrwgPDZXdqbk86G01PZ3sRbeRimQt//n4Oqw5QNbyTTKs5UOk+95jet2OAL+gNrJKnqYnERBNB7BA96TTxXOxm4BoD6bdILghE2ACBgJKpdS5UJqD1zfOwbbja83S7dq+D+bd/B56JQ5m+l5GgIWmfRtObtmdpi80ScuW1rULHr93BtRq6+nM6urqsOijpUg/mWmYgFrli5zPn0JclHyRb9/suVVrBHKLTxnull8st5yekKzl4/pOl/KW0+9QLkzAEQKi6QAW6I6cBm7rMQREezA9BixPhAm0cQJKptTZ8vtqvLbxLygsO9eCig98cNvA/8PsMX8DpQDi4h0EWGjav89TX16OL7f8atIBifTZU++0aEkny/l7y1eYiHPqZMrovlj+9FT7J8Qt7SJA1nJ6ebmG7paf2mS1jz4dh0rWckpdxtZyq7i4gkwCoukAFugyN56reTYB0R5Mz6bNs2MCbY+AUil1yqsv4f0fn8PKve+ZdduMDu2Ax8a9idE9J7U9SDxjuwiw0LQLGygK+cCH30Z+ien1EY2fH4Ze2Rdjhg5BcmKCoXMKCLd5127sOvQramprTQZtHxmCPf9+GJ1iI+ybDLeymcDZi5mStfybQ8tgzVoeGhCBcVdMx4Sr7kOX2N42j8UNmIA1AqLpABbo1nacf94mCIj2YLYJ6DxJJtAGCSiVUufI2d1YuG42MvOPmKUwsvsEPDb+TVAuXS5iE2Chaf/+Uj5vioRfXlVjtpMAjQZBgYGoqKxsNUd8cIAGWxbdjwGp3v2s0e+2M0XHUVxeiMqaywjUhCAyOBqd2nVXLF1YrbYG246tle6W7z31o9WNv6LjMMlafo1kLQ+0Wp8rMAF7CYimA1ig23sSuJ1HERDtwfQouDwZJsAEzBIg187lu97Akq0LUFNX1aJOkCYED1y7AJMHPqjYB2TeCs8kwELT/n0hdjc9u7SFJV1Oj2Q5X//SDK8W5+QdtObAh5KLeUFZbgtsMaEJkkie0P9eRIfGy8Haok7OxZNYJ0ViX4bi8nyLfYQGREp3yylveUpsL7vG40ZMwFYCoukAFui2ngCu75EERHswPRIyT4oJMAGzBMjV89VvHm71/mXPDgPw1C3vo1tcXyYoMAEWmvZvLnkhPLlkI77++bBJ4LjWeqSAcLeP6INXZo7zWrd2JeNrmONM1vKtx9ZIwn9f1marm9u303DpRcDonrextdwqLa6gNAHRdAALdKVPCPfnFgKiPZhugciDMgEmYDeBhoYGfH94Od787nEUVxS06Eflo8KUoXNw36jnEKgJtnscbujZBFhoOrY/FHRvyca9+M+GX0zypOt7TYwOxwM3DcLMcYO8Olq7UhkqzO1WTtEJySK/4dAnZn+XGbcha/n4vndLecs7x6Q5tvncmgk4QEA0HcAC3YHDwE09h4BoD6bnkOWZMAEmYAuB0ooivP3DPKw/tNRss/iIZPz1prcxtOsNtnTLddsYARaajm0Y5ZjPyC1EQclllFXWIDRQg5iIEKQmREOl8nWs8zbemsT5Q0uvQ2VtudmVBGjUCAzQoLKqBlU1dWbrBPoF450Zm0DePVRq6qqx7dgarD6wBPuzfrJK6MqkEZjUfyZGp90Gf3WA1fpcgQk4m4BoOoAFurNPDPfvEgKiPZgugcaDMAEm4DQCB7K34ZX1D0pBm8yVsb2nYM4NixAV0t5pc+CO3U+Ahab790CkGZBb+72Lh7a4B+6nVmFAr2SM6JeKjnFRhiXn5F3EzwczsO9oNmrrtCYoIoNj8bfbP8eOjI3Y8OsnKKkotIgqLDBKZy3vfx+SY3qKhJXXIgAB0XQAC3QBDiUvARDtweQ9ZQJMoO0TIKvUJ9tfwbKfF6Ku3jQtFK2OUg89PHYhbu73J/j6eLdVsO3vNq+ACTifwPMrp+OHIytMBkpNisM9E4YhLLj1KOmXyiuxbO0OZJy+YPMk+yWNxMSrZmJ0z1vZWm4zPW7gKgKi6QAW6K46OTyOUwmI9mA6FRZ3zgSYgEsJZBf8LlnTD53ZbnbcKztdjSdvfpetUi7dFR6MCbQtAhStfdIbKdDWN7mtkziffcdoqFUqq4up02rx3ldbkHE6z2rd8MB2krWc8pYnR/ewWp8rMAF3ExBNB7BAd/eJ4vEVISDag6kIFO6ECTABjyFQ31CP9Qc/lu6nl1WVtJiX2tcP94yYhz9e/SQ0an+PmTdPhAkwAc8g8OHWv2HJlhcNkyG39hdnT0JosPw74GRJn//emhbu7vpO+yePwsT+MzGq5yS2lnvGtvMsZBIQTQewQJe58VzNswmI9mB6Nm2eHRNgAvYSKLqcJ0V6b+6mqu+vU7vukjW9f/JIe4fgdkyACQhGQFuvxa1vdDHJcz60bxdMGzfE5pV+sWE3dv2WaWjnA1/cMeTPuPWqWUiK7m5zf9yACXgCAdF0AAt0TzhVPAeHCYj2YDoMhDtgAkzAownsOvmdlDv9fEm22XnefOUMPHz9KwgPbAr45NEL4skxASbgNAJZBemY9m5fk/6fmDHOJCCc3MEpcNw/l240qb78wd/4io1cgFzPIwmIpgNYoHvkMeNJ2UpAtAfT1vVzfSbABNoegcqacny49SV8uesNaBtMIyzTaijK8l9uWITre0+Bj49P21sgz5gJMAFFCFBWiIeWjTH0RanUXp17p919P/76ClQbpWB7d8Zm9EsaYXd/3JAJuJuAaDqABbq7TxSPrwgB0R5MRaBwJ0yACbQJAhl5h7Bw3WxQfmNzZXCXsVLu9ITIlDaxHp4kE2ACyhLYkbEBjy+faOg0MiwICx681e5BnntnFUrKKgztF01dg+Gp4+3ujxsyAXcTEE0HsEB394ni8RUhINqDqQgU7oQJMIE2Q4DumK7c+y7+s/l5VNRcbjFvf3Ug7hv1HKYOnQO1yq/NrIsnygSYgGMESiuK8MWuf0kpG/WFLeiOMeXW4hEQTQewQBfvjHrlikR7ML1yE3nRTIAJ4EJpDl7fOAfbjq81S6Nr+z6Yd8v76JUwiGkxASYgKIFzxVnS74Cfj6/Dr6e3m70CY+8d9DN5RXh16bcm5PgOuqAHyYuWJZoOYIHuRYdX5KWK9mCKvFe8NibABKwT2PL7ary28S8oLDvXorIPfDB54Gz835iXEOwfZr0zrsEEmIBHE2hoaEBG3kFsPUaifC1OXjhsdb5KRXGPCU3AqjmZUPlaz6VudVJcgQm4iYBoOoAFupsOEg+rLAHRHkxl6XBvTIAJtEUCl6tK8f7m5/C/ve+jAQ0tlkAfrB8b/yZG9Wi6m9oW18lzZgLeSKBWW4OD2dskS/n24+tx4VKOTRgoD/r82RMRFhwou525POizRs/HvaOekd0HV2QCnkhANB3AAt0TTxnPyWYCoj2YNgPgBkyACQhL4MjZ3VIQucz8I2bXOLLHRDw27g3EhiUKy4AXxgREIFBefQm7TnyLbcfXYdeJjbhcXSprWRSD4sqkEdh76kfUG2V8SE2Kw+w7RkOtsm79rtNq8d5XPyHj9AXDmCpfNdY8moV2IXGy5sGVmICnEhBNB7BA99STxvOyiYBoD6ZNi+fKTIAJCE+gTluL5bvewJKtC1BTV9VivUGaUPzftQtw28DZ7Koq/GngBbYlAvmXcrH9+DpJlO/P+gl19bWyph8RFI3hqTdhZPcJGNTlOgT4BeH5ldPxw5EVJu1JpN8zYZhFSzpZzpet3WEizqmTsb3vxILJn8maD1diAp5MQDQdwALdk08bz002AdEeTNkL54pMgAl4FYGzFzPx6jcPY8+pTWbXnZYwEPNufg/d4vp6FRdeLBPwFAJ0nzyrIB3bjq2V3NdbS59obr4JkV0wsscESZT36Ti0xcu2vNIzuHfxUBSX55s0J3f3AWnJGNE/FR3jogw/o4Bw2w+cwL70bNTWaU3aRAW3x4ezdiIuvJOnoON5MAG7CYimA1ig230UuKEnERDtwfQktjwXJsAEPIsACYDvDy/Hm989juKKghaTU/moMHXoo7hv9HOS1Y0LE2ACziVAaRJ/y9mJnyVRvg65xZmyB6SXaiO6kyi/BZ1j0uDj42OxLQn+h5Zeh8racrP1/DVqBPprUFldg+qaOrN1Av2C8c6MTejZYYDseXJFJuDJBETTASzQPfm08dxkExDtwZS9cK7IBJiA1xKg/Mhv/zAP6w8tNcugQ0Rn/PWmtzGk6/Vey4gXzgScRaCqtgK/ZP4gRV3fkbEBJRWFsoZS+/phQMq1GNH9FulPTGgHWe2MK5FIf+yLiS0s6XI6Isv5ommrWZzLgcV12gwB0XQAC/Q2c/R4opYIiPZg8m4zASbABOQSOJC9Fa+sfxBnijLMNrm+zxT85YbXEBUcK7dLrscEmIAZAsXlBdiesV7KT74ncxOq6yplcQrxD8ew1HGSpXxo1xsUSY9I7u7vbnoam9NXQltv3lJuPDkKCHdt2mQ8eN3L7NYua9e4UlsiIJoOYIHelk4fz7VVAqI9mLzVTIAJMAFbCFTXVeGTn1/BJ9tfMRuEKjQgEg+PXYhb+v3JqgutLeNyXSYgOoGciyel++RkKT+cswv1DfWylkxZFegu+YgeE9AvaQT8VBpZ7WytVFh2HmsPfITV+xejoCy3RXOax6SrZmFC/3s5WrutcLl+myEgmg5ggd5mjh5P1BIB0R5M3m0mwASYgD0Esgt+l6zph85sN9ucUjU9efO7SI7uYU/33IYJuIQA3ek+U3QcxeWFqKy5jEBNCCKDo9GpXXenZykgAU4u5DpRvk4K+Ca3dG3fByO7T8TIHrcgNa6fS1+GEbOcogwUVxSioroMQf6hiAyKRsd2qU5nJpcP12MCziIgmg5gge6sk8L9upSAaA+mS+HxYEyACQhFgATGugMf4Z1NT6GsqqTF2siSd8/V83D31U9Ao/aXtXZ3CiZZE+RKQhAga/CaAx9izf4lZq3BMaEJBmtwdGi8YmuuqavG/uwt2HZsDbYfX4/Cy+dl9U0BGfsmXa2zlHe/BR0iO8tqx5WYABNQloBoOoAFurLng3tzEwHRHkw3YeRhmQATEIhA0eU8KdJ787zJ+iUmRfeQrOnkfttacZdgEmgbeCkyCLjjPjW9vNp5YqNkKd998jtU1JTJmClAEdCHdL1BEuTDUscjPLAprZmsDrgSE2ACihMQTQewQFf8iHCH7iAg2oPpDoY8JhNgAmIS2HXiW7y64c84X5JtdoF0L/2hsQtNhIY7BJOY9HlV1gi4MiI5nWt9KrSDp7fJCq5G86fI5yO63ywFeaMI7P7qAGvL4p8zASbgQgKi6QAW6C48PDyU8wiI9mA6jxT3zASYgDcSqKwpx5ItC7Bi95vQNmhbIIgMjsWcG17D2N534tj5/ZzCyRsPiRvWbC2ndwDl9A7QoLKqBlV25PRuaGjAyQu/SVbybcfXIiPvkOxV0n13yk0+sscE9EocDF8fX9ltuSITYAKuJSCaDmCB7trzw6M5iYBoD6aTMHG3TIAJeDkBEigL1/0ffj+33yyJXgmDkZl/GJTj2VxxVDB5OX5evhEBsmbfu3hoi1zefmoVBvRKxoh+qegY1+Q+npN3ET8fzMC+o9morTN9yUQvmD6atUtKH1ZXX4dfT2+X7pNvO74OeaWnZXH3gY8kxHWR12/hQIqyqHElJuAZBETTASzQPeNc8SwcJCDag+kgDm7OBJgAE2iVAAV8W7n3Xfxn8/OoqLlslZSjgsnqAFzBKwk8v3J6i/gIqUlxuGfCMIQFB7bK5FJ5JZat3YGM0xdM6lzRcRg6RCZjR8ZGlFUVy2KqUfljQMoYyVJ+dfebOQ2ZLGpciQl4HgHRdAALdM87YzwjOwiI9mDagYCbMAEmwARsInChNAevbfyLlEqqteKIYCJ3+QWTP7NpTlzZOwhQ8MFJb6SY3AGnszb7jtFQq1RWIdRptXjvqy3IOJ1ntW7zCqEBkRieOl6ylA/uej2CNCE298ENmAAT8CwCoukAFuiedb54NnYSEO3BtBMDN2MCTIAJ2ESA7uhuPbYar37zZ1wsN7VIOiqYVL5qrHk0i62SNu2Id1T+cOvfsGTLi4bFkpfGi7MnITRYfvA1sqTPf29NC3d3cwTjI5KlqOujekzEFZ2GQ+2r9g7QvEom4CUERNMBLNC95OCKvkzRHkzR94vXxwSYgGcReO/HZ/HJ9lcUF0yzRs/HvaOe8azF8mzcSoCuWNz6RheTPOdD+3bBtHFDbJ7XFxt2Y9dvmWbbdY/vJ0VdH9VjArrE9oGPj4/N/XMDJsAE2gYB0XQAC/S2ce54llYIiPZg8oYzASbABFxFwJmCKSY0AavmZELla91t2VXr5XHcSyCrIB3T3u1rMoknZowzCQgnd4YUOO6fSzeaVL9nxDxMumqWFDCOCxNgAt5BQDQdwALdO86t8KsU7cEUfsN4gUyACXgMAWcLpuUP/obkmJ4es15XToRefpwpOo7i8kJU1lxGoCYEkcHRoBRe3vbSglL95RZnYtuxdVi8Zb5hGygzwKtz77R7Wx5/fQWqjVKwvTtjM/oljbC7P27IBJhA2yMgmg5ggd72ziDP2AwB0R5M3mQmwASYgKsIHMjehoeWjXGaYLp35LMY1u1GxEd2RmRQjFe4GlMQtDUHPsSa/UtMXLn1kMmzgKy8E/rfi+jQeFdttdPHKa++hLMXM43+nMTZYt3fC8vOmR0/MiwICx681e65PffOKpSUNaUFXDR1jRQEjgsTYALeQ0A0HcAC3XvOrtArFe3BFHqzeHFMgAl4FIEdGRvw+PKJhjkpLZiMFxvgF4QOEZ0RH5mM+PAkKS1WfERn6Sv9e0hAuEexsXUylNv73U1PY3P6SpMI5a31Q4H0rk2bjAeve7nNuGRfqizG2Ysnm0R4cdP3xeX5tiIDW9BtRsYNmAATaEZANB3AAp2PuBAERHswhdgUXgQTYAJtgoCzLei2QKAUWHqxTpG3dQKexHsy4iKSEeDXen5sW8ZxRt3fz+3DY19MhD0iNSq4PRZNW42eHQY4Y2o29UmR/UsqClsV4ZcqL9rUn5zK9t5BP5NXhFeXfmsyhDdfqZDDmuswAREJiKYDWKCLeEq9cE2iPZheuIW8ZCbABNxEQMk76OYEk5LLahcSpxPsjRZ33fedJQEfG97RbemzSJw/tPQ6VNaWm10uWYkDAzSorKpBldF9aePKgX7BeGfGJpeIdBLhlFYvp4is340WcMkVXfc9uao7q5B7f0lFAWq1NYYhlIrizkEJnbVr3C8T8GwCoukAFuiefd54djIJiPZgylw2V2MCTIAJOEzAmVHc/VT+INF04dIZWS7fjixG5aNCTFiikdVd5zqvF/Ek7n19fB0Zwmxbcmu/d/HQFpZzyu09oFcyRvRLNYlQTpHHfz6YgX1Hs1vk8I4MjsVHs3Yp4u5e31Av3fvW3Qk3cklv/L61lwmOAvKBD9qHd0JiVBfpT8eobobvO0SmSF4Q5vKgz589EWHB8j0kzOVB57R+ju4et2cCbZOAaDqABXrbPIc862YERHsweYOZABNgAq4k4GzBRC8BCspyca44G+dLsqSv50qycL4kW/qehGQDGpy6ZI3KX3KTl0S7dP+9s4k1Piwwyq4Ads+vnI4fjqwwmXtqUhzumTDMouAkgbls7Q5knL5g0nZs7zuxYPJnslgQ1/xLOcgxEuG5+iBtxZmoqauS1Y+tlehlCLHUi3Dd167S3ymWgEbtb7FLCqI36Y0Uk5c2xGz2HaOhVllPyVen1eK9r34yYUf3+dc8mgV6EcOFCTAB7yIgmg5gge5d51fY1Yr2YAq7UbwwJsAEPJKAuwVTTV01LpSewTlJsDcKd6Pv6U60s0uQJtTs/Xe9BT5IE9JiCspw24KM03mGvpsLzTptLc6XnjZjCc/EueJTqKuvdQoata8fyOJtToTTCw61ys+hcd35YsOhiXNjJsAEPI6AaDqABbrHHTGekD0ERHsw7WHAbZgAE2ACjhDwZMFUUXO5UbifNljgJet7ozW+oqbMkaXLahsRFG1wl6c77yTcf8vZhW9/a7J2k1v7i7MnITQ4QFafVMmcq3ZawkBQwDxyT88ryYa2QSu7P1sqatQBSIzUuaInNLqkkyW8Y1QXxIZ1dGqudotXA9KSMaK/6dUAim+w/cAJ7EtveTWAgux9OBeMcDgAACAASURBVGunIlcDbOHHdZkAE/AMAqLpABbonnGueBYOEhDtwXQQBzdnAkyACdhMoK0KJgp4RpHF9WJd5zafJVmdyX2eBG6NttpmHvY0UCrYmT1jt9aGUtsZXNAbxbjeHT0mLMEp9/Llzt9acD1/Cq7nr0FldQ2qPSC4ntx1cT0mwARcS0A0HcAC3bXnh0dzEgHRHkwnYeJumQATYAIWCYgomChYWtHlvCbX+Wb33+kON9VRotibLowCx/1z6Ua7p0Du+R3b0R3wrgaLuF6E051sHx8fu/t2dkNR0tM5mxP3zwSYQOsERNMBLND5tAtBQLQHU4hN4UUwASbQJgl4m2CiO975l842u/+uC2RH1ngS93IKpVJ7de6dcqqarfP46ytatRJTAwpiZ7gPHqkLyKa3jJP7vSeLcGtQyHvj3U1PY3P6SlnR/ume/rVpk/HgdS+zW7s1uPxzJuAFBETTASzQveDQesMSRXswvWHPeI1MgAl4LgEWTE17U1VbKbnJny85beJGn5F3CLnFpwwVI8OCsODBW+3e1OfeWYWSsgpD+xv6TMOwbuMM98PDA6Ps7rutNKSge2sPfITV+xdLUf+bl9iwREy6ahYm9L+Xo7W3lU3leTIBFxAQTQewQHfBoeEhnE9AtAfT+cR4BCbABJiAdQIsmFpndCB7Gx5aNsZQQWkL+rszNqNf0gjrmyRgDUofl1OUgeKKQlRUlyHIPxSRQdHo2C7VqYHrBETJS2ICXkFANB3AAt0rjq34ixTtwRR/x3iFTIAJtCUCLJha7lZWQTqmvdvX5Af23kGnCOWvLv3WpK/lD/6G5JiebemY8FyZABNgAm4hIJoOYIHulmPEgypNQLQHU2k+3B8TYAJMgAkoS4BeWtz6RhcTV2ylorjHhCZg1ZxMthYru2XcGxNgAoISEE0HsEAX9KB627JEezC9bf94vUyACTCBtkjgw61/w5ItLxqmTnnQ58+eiLDgQNnLMZcHfdbo+bh31DOy++CKTIAJMAFvJiCaDmCB7s2nWaC1i/ZgCrQ1vBQmwASYgLAE6I7+pDdSTCKPpybFYfYdo6FWqayuu06rxXtf/YSM0xcMdSlC+ZpHszgImlV6XIEJMAEmoCMgmg5ggc4nWwgCoj2YQmwKL4IJMAEm4AUEnl85HT8cWWGyUhLp90wYZtGSTpbzZWt3mIhz6mRs7zuxYPJnXkCOl8gEmAATUIaAaDqABboy54J7cTMB0R5MN+Pk4ZkAE2ACTEAmAUpJd+/ioSguzzdpQe7uA9KSMaJ/KjrGNaVIo4Bw2w+cwL70bNTWaU3aRAW3x4ezdnJub5nsuRoTYAJMgAiIpgNYoPO5FoKAaA+mEJvCi2ACTIAJeAmB38/tw0NLr0NlbbnZFftr1Aj016CyugbVNXVm6wT6BeOdGZvQs8MAL6HGy2QCTIAJKENANB3AAl2Zc8G9uJmAaA+mm3Hy8EyACTABJmAjARLpj30xsYUlXU43ZDlfNG01i3M5sLgOE2ACTKAZAdF0AAt0PuJCEBDtwRRiU3gRTIAJMAEvI0Du7u9uehqb01eaBI5rDQMFhLs2bTIevO5ldmv3srPCy2UCTEA5AqLpABboyp0N7smNBER7MN2IkodmAkyACTABBwlQdPe1Bz7C6v2LTfKk67uNDUvEpKtmYUL/ezlau4OsuTkTYAJMQDQdwAKdz7QQBER7MIXYFF4EE2ACTMDLCWjrtcgpykBxRSEqqssQ5B+KyKBodGyXCpWv9TRsXo6Pl88EmAATkEVANB3AAl3WtnMlTycg2oPp6bx5fkyACTABJsAEmAATYAJMwBMIiKYDWKB7wqniOThMQLQH02Eg3AETYAJMgAkwASbABJgAE/ACAqLpABboXnBovWGJoj2Y3rBnvEYmwASYABNgAkyACTABJuAoAdF0AAt0R08Et/cIAqI9mB4BlSfBBJgAE2ACTIAJMAEmwAQ8nIBoOoAFuocfOJ6ePAKiPZjyVs21mAATYAJMgAkwASbABJiAdxMQTQewQPfu8yzM6kV7MIXZGF4IE2ACTIAJMAEmwASYABNwIgHRdAALdCceFu7adQREezBdR45HYgJMgAkwASbABJgAE2ACbZeAaDqABbpCZ/HIkSOgP7m5uVCpVEhMTES/fv3QpUsXhUawvZvMzEwcPHgQdGi1Wi0SEhLQu3dv6Y9oRbQHU7T94fUwASbABJgAE2ACTIAJMAFnEBBNB7BAd/CUfPbZZ/jnP/+Jw4cPm+1p6NCheP7553HjjTc6OJL85hs3bsRLL72EXbt2mW10xRVX4IknnsBdd90lu9OlS5fiT3/6k+z6xhVpHOLkzCLag+lMVtw3E2ACTIAJMAEmwASYABMQhYBoOoAFup0ns6qqCvfccw+++uorqz34+Phgzpw5eO2110DfO6s0NDTg0UcfxZtvvilriClTpoCEt7+/v9X6LNCtIuIKTIAJMAEmwASYABNgAkyACbiYAAt0FwP31OGmTZuG5cuXG6ZHwnvs2LHo27cvampqsHfvXuzcudNk+s8++6xk2XZWmTdvHl555RWT7ocPH46BAwdCrVbj119/xaZNm0BCXl+mT5+OTz/91OqUmgt0cuOXW8iCvmzZMrnV7aon2oNpFwRuxASYABNgAkyACTABJsAEvIyAaDqALeh2HOC3334bf/7znw0t6b75unXrcOWVV5r09sMPP+APf/gDSktLDf9O7ufOcHdfv349brnlFsM4ERER+PrrrzFmzBiTOdGd9AkTJkj30vXl/fffxwMPPGCRRHOBnpWVheTkZDvoOaeJaA+mcyhxr0yACTABJsAEmAATYAJMQCwCoukAFug2ns/y8nKkpKQgPz9fahkQECBZplNTU832tHXrVlxzzTUGqzWJ+AMHDijq6k4WcbLc6+/BkzV/y5YtGDlypNk5ZWRkSPXJTZ9KfHw8KKBcYGBgqzRYoNt4ULg6E2ACTIAJMAEmwASYABNgAk4nwALd6Yg9e4B//etfmDt3rmGSFADuxRdftDjpP/7xjyZu5GvXrjWxdju64lWrVuG2224zdEPjWXMpp3kbu9u/9dZbJl4BzefEAt3RXeL2TIAJMAEmwASYABNgAkyACShNgAW60kTbWH/Dhg0zREene9hnzpxBhw4dLK5i9+7doGju+nL33Xfjk08+UWzlze/D//LLLxg0aJDF/ikdXFJSkpR+jcqIESOwbdu2VtuwQFdsu7gjJsAEmAATYAJMgAkwASbABBQiwAJdIZBtsRtyayd38Pr6elmi1niNHTt2NNz7joqKwoULF6TAbY6Wuro6xMTEoKSkROqKxqGXBnIKifLt27dLVellQ15eHqKjo802ZYEuhyjXYQJMgAkwASbABJgAE2ACTMCVBFigu5K2h43V3JX8ySefxMKFC2XN8s477zRJyXbo0CHpHrijhYK+9e/f39ANjfPll1/K6pbmTznc9WX16tWYOHEiC3RZ9LgSE2ACTIAJMAEmwASYABNgAu4mwALd3TvgxvFffvllPPPMM4YZkBAmQSynkJB/6qmnDFUpRRvlIXe0fPHFF6A0ZvpC45DwllNo/lOnTjVU/cc//gFK1WausAVdDlGuwwSYABNgAkyACTABJsAEmIArCbBAdyVtDxurebA3ynNufLfc0nSbC+kXXngB8+fPd3iFzYO90TjGotvSADR/ypOuL/fccw9IiMsR6Pfddx9+//13ULo1cq8PDw+XXO0HDBggRa2//fbbLUaFd3jhzToQ7cFUmg/3xwSYABNgAkyACTABJsAERCQgmg7gNGs2nFLKKb5582ZDi5ycHFAOdDmFArCNGjXKUJUE7pIlS+Q0tViH+vnoo48MdX7++WdcffXVsvqlu+oUKE5faH2bNm2SJdCtDRAbG4unn34ajzzyiKIp5VobV7QH0xpf/jkTYAJMgAkwASbABJgAE2ACkOJ8URwuKrboM09lxwLdhp0ZPHgw9uzZY2hRXFyMiIgIWT04clfc0gDN77bTOJRrXU6h+VPAOn2h9VHEeXOluYu7nP6pzi233CLdiQ8KCpLbxGw9evAslfPnzxsi14vwYDoEixszASbABJgAE2ACTIAJMAEvIcAC3Us22twye/XqhfT0dMOPKisrERAQIIsIuYOnpaUZ6t50001Yv369rLaWKlE/GzZsMFShcXr06CGrX5q/sXCm9R05cqRVgU7W+muvvRY333yzJIa7desmubZTP/RgbN26Fe+++26LPihH+9dff+2QJd3Hx0fWmqgSC3TZqLgiE2ACTIAJMAEmwASYABNo0wRYoLfp7XNs8l26dMGpU6cMnVAOcV9fX1mdUjtqry8kdH/88UdZbS1Vau52n5mZiZSUFFn9Uro4Sq+mL9SO2psrx48fh7+/P5KTky323dDQgFdeeUVyb6fv9eWDDz7ArFmzZM3LXCUW6Haj44ZMgAkwASbABJgAE2ACTEBYAizQPWBrSSSePn3aaTNpLZq5N1vQbYXdPGo93dUn8a/RaGztSqrPLu52YeNGTIAJMAEmwASYABNgAkxAaAIs0D1ge90l0L35Drqt207W+T59+phcCSCPAfIccEYR7cF0BiPukwkwASbABJgAE2ACTIAJiEZANB3QJoPEuUugN3cnpyjo+oiB1g66q6K40zgjRoywNh3p57ZEcZfVYbNKr776Kp544gnDv5Lb+9///nd7urLaRrQH0+qCuQITYAJMgAkwASbABJgAE2ACHMXdE87Avn37UFVV5bSp0AsAc+nTHMmD/vnnn2P69OmGOXtCHvQdO3aYpGSzlAfdHtjbt283eVlw11134bPPPrOnK6ttWKBbRcQVmAATYAJMgAkwASbABJiAcARE0wFt0oLurlNFd9PJCqwvy5cvx5QpU2RNp/mdbEo9RinSHC00h2nTphm6ae3+vLlxaA5Tp041/Ijm+OSTTzo6JUP7jIwMdO/e3fD3G264Ad9++61i/Rt3JNqD6RRI3CkTYAJMgAkwASbABJgAExCMgGg6gAW6DQd09erVuPXWWw0tyH2bIpbLKXfccQf++9//GqoeOnQIffv2ldPUYh3qp1+/foY6NM6KFStk9UvzJzd0faH1TZw4UVZbOZWaz436pjGcUUR7MJ3BiPtkAkyACTABJsAEmAATYAKiERBNB7BAt+GE5ufnIz4+HhQAjcrVV1+Nn3/+WVYPdFddH4k8KioKFy5cgFqtltXWUqW6ujrExMSgpKREqkbj0N1yOYXmT27uVCjdWl5eHqKjo+U0lVXnf//7HyZPnmyoS2nWKN2aM4poD6YzGHGfTIAJMAEmwASYABNgAkxANAKi6QAW6Dae0OHDh2Pnzp0GUUtiuEOHDhZ72bVrF4YNG2aoc/fdd+OTTz6xceTWq9Pd7i+++MJQYffu3aCI85ZKbm4ukpKSQLncqVBgOQowp2SZOXMmPvzwQ0OX77zzDh588EElhzD0JdqD6RRI3CkTYAJMgAkwASbABJgAExCMgGg6gAW6jQf0jTfewKOPPmpo9fzzz+PFF1+02Evz4HJr167FLbfcYuPIrVdv7npP4y1btsxi/zTvl156yVDnrbfewp///GfF5pSVlYWePXuiurra0OfJkyfRpUsXxcYw7ki0B9MpkLhTJsAEmAATYAJMgAkwASYgGAHRdAALdBsPaHl5OVJSUkDu7lQCAgLw66+/IjU11WxPW7duxTXXXIOGhgbp51deeSUOHDgAHx+fVkeeP3++iei3FvGd+qb77IcPH5b6pL63bNmCkSNHmh2DgrdRfX0kfHLbz8zMRGBgoNn6x44dk4S1n5+fLFrFxcXSmomLvtALCXox4awi2oPpLE7cLxNgAkyACTABJsAEmAATEImAaDqABbodp/Ptt982sTbTvW8SnyS+jcumTZtw++23o7S01PDPGzduxI033mhxVFsFOnW2fv16E6t8REQEvv76a1DuduNy8OBBTJgwwXAfnn72/vvv44EHHmh1TnPmzMGaNWvw8MMPS5HnzaWgo8b0ooDm8cgjjyA7O9vQX1BQEPbu3Yu0tDQ7aMtrItqDKW/VXIsJMAEmwASYABNgAkyACXg3AdF0AAt0O88zpSejNGX6QlbrsWPHSpbp2tpa7Nmzx3BXXV/nmWeewd/+9jerI9oj0KnTefPmtYgqT3fmBw0aJAWBI4s2vTTQW/OpDeVm//TTTy3OiQT6m2++KdWhdXbr1k16GUF378PCwiQ39pycHClgHn01LjTuqlWrFHXpNzdZ0R5Mq4eEKzABJsAEmAATYAJMgAkwASYgGR7JYEqFtEhrxsS2gooFup07Re7hdNfbOHVaa12RqP3LX/6C119/3aJru769vQKdosvT/Xi6Ty6nkDV86dKlkpu+pWIs0OX0q6/TqVMnfPbZZ1IAOmcX0R5MZ/Pi/pkAE2ACTIAJMAEmwASYgAgERNMBLNAdPJVkfaZc4vr73827GzJkCOgOuTW3duN29gp0fR/kRr9gwQJQNHdzpU+fPqAc6GQ9l1PoPvvixYulKO/6VHGW2vXu3VtymZ8xYwZCQkLkDOFwHdEeTIeBcAdMgAkwASbABJgAE2ACTMALCIimA1igK3RoSaAfOXIElL6M3LoTEhLQv39/dO3aVaERbO+GoqZTQDqaE6VTozmReCaBbm8pLCzE0aNHpVzrBQUFqKiogEajQWRkpOTyTundlMylLneeoj2YctfN9ZgAE2ACTIAJMAEmwASYgDcTEE0HsED35tMs0NpFezAF2hpeChNgAkyACTABJsAEmAATcBoB0XQAC3SnHRXu2JUERHswXcmOx2ICTIAJMAEmwASYABNgAm2VgGg6gAV6Wz2JPG8TAqI9mLy9TIAJMAEmwASYABNgAkyACVgnIJoOYIFufc+5RhsgINqD2QaQ8xSZABNgAkyACTABJsAEmIDbCYimA1igu/1I8QSUICDag6kEE+6DCTABJsAEmAATYAJMgAmITkA0HcACXfQT6yXrE+3B9JJt42UyASbABJgAE2ACTIAJMAGHCIimA1igO3QcuLGnEBDtwfQUrjwPJsAEmAATYAJMgAkwASbgyQRE0wEs0D35tPHcZBPIzs5G586dpfp79uxBfHy87LZckQkwASbABJgAE2ACTIAJMIG2SeD8+fMYNGiQNPmsrCwkJye3zYU0zpoFepvePp68nsDevXsNDyZTYQJMgAkwASbABJgAE2ACTMD7CJChbuDAgW164SzQ2/T28eRZoPMZYAJMgAkwASbABJgAE2ACTIAIsEDnc8AEPIRAVVUVDh8+LM0mJiYGarXaLTMzdrFhV3u3bIHTBuW9dRpat3bM++pW/E4dnPfWqXjd1jnvq9vQO3Vg3len4nVr567Y27q6OhQUFEjr7NOnDwICAty6ZkcHZwu6owS5PRMwIiBakAre3CYCvLdingbeVzH3lVbFeyvm3vK+8r6KSUDcVfEza/veskC3nRm3YAKtEuBfQuIeDt5bMfeW91XMfWWBzvsqLgExV8a/i8XcV/5dbN++skC3jxu3YgJmCfB/MOIeDN5bMfeW91XMfeUPhbyv4hIQc2X8u1jMfeXfxfbtKwt0+7hxKybAAt3LzgB/eBBzw3lfxdxX/lDI+youATFXxr+LxdxX/l1s376yQLePG7diAizQvewM8IcHMTec91XMfeUPhbyv4hIQc2X8u1jMfeXfxfbtKwt0+7hxKybAAt3LzgB/eBBzw3lfxdxX/lDI+youATFXxr+LxdxX/l1s376yQLePG7diAizQvewM8IcHMTec91XMfeUPhbyv4hIQc2X8u1jMfeXfxfbtKwt0+7hxKybAAt3LzgB/eBBzw3lfxdxX/lDI+youATFXxr+LxdxX/l1s376yQLePG7diAkyACTABJsAEmAATYAJMgAkwASagKAEW6Iri5M6YABNgAkyACTABJsAEmAATYAJMgAnYR4AFun3cuBUTYAJMgAkwASbABJgAE2ACTIAJMAFFCbBAVxQnd8YEmAATYAJMgAkwASbABJgAE2ACTMA+AizQ7ePGrZgAE2ACTIAJMAEmwASYABNgAkyACShKgAW6oji5MybABJgAE2ACTIAJMAEmwASYABNgAvYRYIFuHzduxQSYABNgAkyACTABJsAEmAATYAJMQFECLNAVxcmdMQEmwASYABNgAkyACTABJsAEmAATsI8AC3T7uHErJsAEmAATYAJMgAkwASbABJgAE2ACihJgga4oTu6MCTABkQhcvHgRhw8fxokTJ0Df19fXIyoqCklJSRgyZAjCw8NFWq7XrIX2MTMzEydPnsTZs2dRUlKC6upqhISEoF27dujbty969eoFlUrlNUx4oUyACTABTyCQk5ODvXv34vTp0ygvL0dAQADi4uKQmpoq/W729/f3hGnyHJiAUwmwQHcqXu5cdAKXL1/GgQMHsGfPHukP/aeSnZ1tWDYJOeO/i86jra+PhNvPP/+MVatW4ccff8SRI0daXZKPjw/GjBmDuXPnYty4cW196cLPv7CwEK+++ip27NiBgwcPoqKiwuKaIyMjcffdd+Pxxx9Hx44dhecj+gIfeeQR/Pvf/zZZ5j333IOlS5eKvnReHxPweAL0f+9nn32Gt956C/v37291vn5+fhg2bBieeuop3HDDDR6/Lm+a4OjRo7F161aHl/zCCy9g/vz5DvfT1jtggd7Wd5Dn7xYCr7/+Oj7++GOkp6dLVtXWCgt0t2yP3YN269ZNsqraWqZMmYIPPvgAoaGhtjbl+i4isG/fPgwcONDm0ciqTsJuxowZNrflBp5BYPfu3Rg+fHiL39Us0D1jfyzNIjk5WbKk2lPI86lr1672NOU2LiRARoypU6eCnlO55cknn8TChQvlVud6LiCglECnF+n0YtzbCwt0bz8BvH67CEyaNAlr1qyx2pYFulVEHlUhIiICpaWlJnMi0T548GDJxY5c7cj9jqzr5BptXEaOHInvvvtOqsPF8wg0F+jt27dHnz59QPtL1nK1Wo2ioiIcOnQIu3btaiHm3n//fTzwwAOetzCekUUCtbW16N+/v1lvGBbonn94WKB7/h45MsOjR4/iuuuuQ15enqEb8k4bNGiQ5M5Ov6erqqpw5swZyUPx1KlTUj0W6I5Qd05b8ii0x4Ku1WpN9p6MJCkpKc6ZZBvqlQV6G9osnqrnEDAn0MnSRh8EyT2L7k1RYYHuOXsmZyZ6gU4fCmfOnAn6AJ+YmNiiKf2HsnjxYjz66KPShwd9eeyxx7Bo0SI5Q3EdFxMgt/Y5c+bg9ttvx/XXX4/u3bu3OgOy2D300EP45ptvDHXoxQtdeejSpYuLZ87DOULg/9s7F3CZy+2Przhux0FHJNeTa9stckkXDuqQ5JaEiEgpVE6plOhGdMpJhBK5FKIkIZeIkKLL6SJFJTkSIt04SeH/fH//Z37PzOzZe2b2ntnzm5nPep6ec8y873rX+1m/vfdvvZe1Ro4caffee6+jomzZsrZ3715XHQF6bsjmTV//AF2BW758+SIeePv27fy8Rkwr7xseOHDAeWfyX+zWu9W4ceNMfg8l+h2s04ulSpVyjrkjyU1A1wk7d+7sTkIbHTkJ8pObQmjrCdBT0avMKe4EdKR5586dzpHZRo0aOf9bs2ZN5+XB/4WCAD3urojpAFqxVxDXu3fviBKELV++3Nq1a+futup+nJ6L8uXLx9QulOU9AS3CKLfAqlWr3MG1IKPrLUhyEFCApp9pJQD885//bJMmTbK+ffsSoCeH+xwr/f+esqCSRI6LwNSePXva3Llz3Zb33HOPjRo1KoKeNEkVAh07drTFixe705k+fXrA7+hUmWdO5kGAnhNq9IFANgQI0JP38fjjjz+co87RyNVXX21z5sxxu0yePNkGDBgQjQraepSAEkA2bNjQtU6LcMo7gXifwMmTJ6158+ZO0keJ7qvqqkrLli0J0L3vPtdCAvQkclYUpq5evdpatWrl9lCgtmjRoig00DTZCegEhTYzdA1JUrRoUeeqg06jImYE6DwFEIgxAQL0GAP1uLqlS5da+/btXSuVTExH8JDUIKDEf6rWINGLwy+//JIaE0vxWShngG+hrE6dOk61DWXwJ0BPLscToCeXvyK1VvfOlctFUrBgQdu2bZtVrlw50u60SwEC48ePd04s+kQnF2fNmpUCM4vNFAjQY8MRLRBwCRCgp9fDoBcL7az6RMeily1bll4QUni25cqVc+8t65i0L79ECk856af27bffWq1atZyEj7q3/Oabbzqlmd544w0C9CTzLgF6kjksAnN1DUy5PHTKRaJ757qLjKQXgXPOOcdJyuqTNWvWBPx+Ti8amWdLgJ7uTwDzjzkBAvSYI/W0QmWWVcZZn3To0CGiDP+enhTGOQRUK12JA31H8LQTu2XLFuh4nICSDvle+Pv3729TpkxxLCZA97jjQphHgJ58Pgtn8ZgxY2zYsGFus/nz51vXrl3DdeP7FCKgv6Nnn322OyPla9LCjRZUkf8nQIDOkwCBGBMgQI8xUI+re+aZZ5yM7z4ZOHCgk4wKSX4COm7nX//8rrvuMr1cIt4lsHDhQrviiiscA08//XTn6KzK6BGge9dn2VlGgJ6cfsvO6uDEYDrxogoLSPoQUMUb/4SrI0aMsAcffDB9AEQwUwL0CCDRBALRECBAj4ZW8rfVnVbtzPlkwYIFboCQ/LNL3xl8/PHHprquBw8edCCULFnSSRCnuryINwnoSLuOtuuFXzJ79mxTpmifsIPuTb8RoCefX3JjsRKD+X5G9f99ZdZU/3rmzJm2cuVKp+65TjCpnJpKYiqhXK9evZxFNyS5CSgZr8rX7t+/352IfE8J00C/EqAn93OO9R4kQIDuQafEySTV62zRooWrvUSJEs7LBllI4wQ8jmp1H/Lnn392ap2/+OKLpiRjKs8lUXZZJQP093UcTUF1DgnoOPvUqVOdn63C+QAAHlhJREFU3kpC5V8iT58RoOcQbAK7+f89rV+/vhOsKeGf7+X+tNNOc5KLqX6y7jKrrB7iXQJaRNO1IZ80a9bMdPf4oYceckqsKXjLSvR7eOjQoTZ8+HCOQnvXxWEtC06sq2dg/fr1YfulWwMC9HTzOPONOwEC9Lgj9sQAWt1XkpPPP//ctUdHtHRUC/E+AdXIrl27tmvoiRMn3KRF/ta3bdvWxo0bZzVq1PD+pNLYQr3gaQFFCy2FChVycgVUr149gAgBevI9IP5/TyOxXkk6J0yYYNWqVYukOW3ymIDuGVepUsUd9corr7TChQvbc889F7ElyjGhe+vRlkSNeAAaxpWAfK6Thj7RNcFrr702rmMmo3IC9GT0GjZ7mgABuqfdEzPjdDfZvyRIRkaGffDBB87LBuJ9AsHZ94Mtzpcvnw0aNMjuvPNO5zge4l0COumgnVMtukiyWigjQPeuD7OyLNoAXXp0kmnOnDl22WWXJd+EU9xi/Y1s0KCBO0v5SrvqkiJFithtt91m3bp1cxZYjh075iy0Pf300851FV/Wd7W944477JFHHklxWqk3vR9++MHJN+A7nabKKKp9rnKmSCABAnSeCAjEmAABeoyBelBdcP1O7dipxnLDhg09aC0mhSIQLkD39VGN3ptuuslGjx7t7Mwi3iOgI686IivREWjlD5DfgoUA3Xu+C2eR/p7q2LMSi+nagjI/Kw+Efha///57p0zTokWLnLvLvpd+6dRCqfzdpEmTcEPwfR4S2LBhg3MdIVh0VWH16tWmawyhRAsuqpOtk04SZfuW7/0zgefhNBgqhwQmT57sLHz7RHkFnn322RxqS+1uBOip7V9mlwACBOgJgJ6HQ+pollb4fS8KGlovh9dcc00eWsFQsSag3RrfC/8LL7xgc+fOdXZwfKIkRbo7Fyrwi7Ut6IucgHbYtDDmK4W3du3aLHMFEKBHztUrLV9//XVr3rx52OPMSjKlo8/+ZRD1t1inKviZ9Yo3zYLLkvosiyS56q233mqPP/44wZ133Bm1JVowe+edd9x++vm+6KKLotaTDh0I0NPBy8wxTwkQoOcp7jwdTH9MdGzSf6fm4YcfdhLXIKlF4KOPPrL27dvb7t273Yndfffdzk464g0CWiS74IILbPPmzY5BWiTTYllWQoDuDb/Fy4rvvvvOGjdu7GQA94lKXqr0JeINAp999plTacFfatas6VTICCdKDFipUiV34VTlE1VlQ9eREO8TCPY9tc+z9xkBuvefaSxMMgIE6EnmsAjN1aqvym4dPnzY7cE9uAjhJWmzrVu3OokAfbuzuiOpgF3HMZHEE/C/aiKf6NqCyjIRoCfeN4myYN68eXbVVVe5w5MhOlGeCD2uqpxUrFgx4Evl+fjXv/4VkaHy55tvvum21YmJOnXqRNSXRoklcNdddwX4mdrnBOiJfSIZPe0IEKCnnstVekvHLA8dOuRO7rrrrnNLOqXejJmRj4DuPfpnGNZ9Od2bQxJL4Ndff3VqIvsWzKZPn259+/bN1ih20BPrs7wYXffVtVijkokSZfpWEjIlo0IST0CLnSqX5lv0lEXR/E7VaYgnn3zSnciKFSvskksuSfzEsCBbAjrtpNMPe/bscdtR+5wAnR8bCOQpAQL0PMUd98F27NhhWrXfu3evO5bKhGinhqN1ccef8AEUnCtI98ntt99ujz76aMLtSncDfvzxR9MRV5/kz58/LBJlgfbPHaFEU/4/wzoir5I/SHITUDI5XUfyyRdffEHZNQ+5VEfcddzZJ0uWLLF27dpFZOE999wTcM1IuUL8T0xEpIRGeU5g5cqV1qZNG3fcpk2bmhIGIlkT4Ig7TwcEYkyAAD3GQBOoTqu9+kPy9ddfu1aoLrayBhcoUCCBljF0XhF47bXXAnZorr/+eqfsD5JYAsEBeiysCXeHPRZjoCP+BHr06GHPP/+8O9Dbb79t5513XvwHZoSICATXwY4kQZxPsRZI//3vf7vjLFy40C6//PKIxqVR4ggE/0xOmzbN+vXrlziDkmBkAvQkcBImJhcBAvTk8ldW1ir5jHbOda/VJzrmvnz5cqdeK5IeBPTyqBdKn0RzXzI9CCVmlgToieGeDKN26tTJXnnlFddU1d7OqnxXMswn1WycOHGi3Xzzze60lEvilltuiWia3bt3t/nz57tttQurRXTEuwR03eSMM84wXUuSUPs8Ml8RoEfGiVYQiJgAAXrEqDzbUH9QVPrj/fffd20899xznTqtxYoV86zdGBZ7AsOGDbMxY8a4ip944gmnLjqSfAS4g558PsuJxaqN7V9uTSehypUrlxNV9IkDASWK031kXTmRdO3aNSDozmpItdf7lS9Lv661KC9M8eLF42AlKmNFYOrUqda/f39X3dVXXx2Q1yVW46SaHgL0VPMo80k4AQL0hLsgVwZolVd3pdavX+/qqVu3rq1bty7gzmuuBqFzUhDQs5CRkRFQtkknKs4666yksB8jAwkQoKf+E6EqCyrf5Av+lEhw3759pnwDiHcI+GdjL1y4sFMdI7sKDLI8+B7z+eefb2+99ZZ3JoUlIQnohMPGjRvd77TRoYo4SPYECNB5QiAQYwIE6DEGmofqlAFYxyNfffVVd9QaNWo4wXqZMmXy0BKGiiUB1a3fvn27aWctUlEyMWUFV4ZhnzRp0sQ2bdoUqQraeYwAAbrHHBIHc7RTpx07n7BbFwfIMVC5Zs2agCCtW7duTuLVrETVGho1auT8HveJ8gzoyDviXQJKslutWjXXQJ2cUE4fFszC+4wAPTwjWkAgKgIE6FHh8kxj7biofNacOXNcm7QToztuwXVbPWM0hkREQPeVS5YsaZ07d7Y+ffpY69atrWDBgln23bx5s+muuf8pCmX71m6NgnQkOQkQoCeP344dO2Y7d+6M6rTKjBkz7Nprr3UnqSDgnXfecQI7xHsElLndfzFc1TImTJhgJUqUCDBWQV7Pnj1Nv5d90rhxY2exlEoq3vOrv0WqdT5q1Cj3o+HDh9vIkSO9bbRHrCNA94gjMCO5COzatcuqVq0a0ujjx48HfJ5V+R+VgVHSMcQbBORTLa74S3AZpkgslQ7V90S8QyA4oZiS1NSrV89q167tBO76t3ZodMzy3Xffta+++irTc6DyW+HqbHtnxlgSigABevI8F/qZ1ZFnJWjUz51ygqimeSjREXa99E+ePDnga7Lye9vfP/zwg+mYuv+uuIJzXTHT+5VqpSuXgN6V/Oumly5d2t577z3nHjviXQLa9KhcubLp3conlDyM3F8E6JGzoiUEXAI6oqNfPLmRtWvXWosWLXKjgr4xJBALn8oc7br7l2WLoYmoyiGB3GT8Ll++vD311FMR1+nNoYl0ywMCBOh5ADlGQwT/zCoRmDKx16xZ08kFohMwCvA++ugjZydVO+7+ojvOq1atskKFCsXIItTEg4D+Vnbp0iUgIWt24ygnyNKlS7PcIImHjejMGQG942phzSfUPo+OIwF6dLxoDQGHQCyCOQJ0bz1MsfApAbq3fOqzRqda5s6daytWrHCS/Smrczg555xznOPw+o8sweFoJcf3BOjJ4SdZmZtFtQEDBji1simHmRz+1u742LFjbcqUKQG7rf7WKwv/P//5T6eCBn5NDr/qb+esWbNcY6l9Hp3fCNCj40VrCEAAAhBIcgJ79+61Tz/91FloU5meo0ePWtGiRZ27j7qi0LBhQzv11FOTfJaYD4HkJaAd8QceeMC0qKJyl0r0mJ385S9/cRJ8Dh48mDvnSep2HYnWFaPPP//c9DtaV8x0nF0nJ3QlCYFAOhEgQE8nbzNXCEAAAhCAAAQgkEQEVF1D95SVLEw1tH/++WfTZ1pQ03F35ZJQhYas8r0k0VQxFQIQgIBDgACdBwECEIAABCAAAQhAAAIQgAAEIOABAgToHnACJkAAAhCAAAQgAAEIQAACEIAABAjQeQYgAAEIQAACEIAABCAAAQhAAAIeIECA7gEnYAIEIAABCEAAAhCAAAQgAAEIQIAAnWcAAhCAAAQgAAEIQAACEIAABCDgAQIE6B5wAiZAAAIQgAAEIAABCEAAAhCAAAQI0HkGIAABCEAAAhCAAAQgAAEIQAACHiBAgO4BJ2ACBCAAAQhAAAIQgAAEIAABCECAAJ1nAAIQgAAEIAABCEAAAhCAAAQg4AECBOgecAImQAACEIAABCAAAQhAAAIQgAAECNB5BiAAAQhAAAIQgAAEIAABCEAAAh4gQIDuASdgAgQgAAEIQAACEIAABCAAAQhAgACdZwACEIAABCAAAQhAAAIQgAAEIOABAgToHnACJkAAAhCAAAQgAAEIQAACEIAABAjQeQYgAAEIQAACEIAABCAAAQhAAAIeIECA7gEnYAIEIAABCEAAAhCAAAQgAAEIQIAAnWcAAhCAAAQgAAEIQAACEIAABCDgAQIE6B5wAiZAAAIQgAAEIAABCEAAAhCAAAQI0HkGIAABCEAAAhCAAAQgAAEIQAACHiBAgO4BJ2ACBCAAAQhAAALeJHD8+HH75JNP7Msvv7Q9e/bYkSNH7OTJk1a0aFErW7asVa1a1erWrWsFCxb05gSwCgIQgAAEkooAAXpSuQtjIQABCEAAAt4moOC1cuXKtmvXrgBD8+fP73xWvnz5uE9g7Nixdscdd7jjdOrUyV5++eWIxz127JgtWLDA5s2bZ2vXrrXDhw9n27dw4cLWrFkz69q1q1111VVO8I5AAAIQgAAEckKAAD0n1OgDAQhAAAIQgEBIAqtWrbLWrVuH/G7UqFF2zz33xJ2cguU333zTHWfGjBnWp0+fsONqt3zKlCn20EMP2bfffhu2fagGJUuWtNtvv91uu+02K1SoUI500AkCEIAABNKXAAF6+vqemUMAAhCAAARiTqB79+42f/78kHqrVKniHBU/5ZRTYj6uT+GBAwfsjDPOsBMnTjgf5cuXz/bv32+lSpXKdswdO3aYbH/vvfdiYluNGjUcDvXr14+JPpRAAAIQgEB6ECBATw8/M0sIQAACEIBA3AkcOnTIypUrZ7/99luWY61Zs8ZatmwZN1umT59u/fr1c/VrN339+vXZjqfvO3ToYD/99FPIdhkZGc6pgEqVKlmZMmWcBQYF/bt37zadGNi6dWvIftpBnz17tnXp0iVu80UxBCAAAQikFgEC9NTyJ7OBAAQgAAEIJIzAhAkTbPDgwQHj63720aNH3c969uzpBK3xko4dO9rixYtd9bqPPmTIkCyH0x3zyy67zH799deANgrCe/XqZSNGjLBq1apla+7OnTtNx/dnzpzp7tz7OmgH/7nnnrMePXrEa8rohQAEIACBFCJAgJ5CzmQqEIAABCAAgUQS0HHujz76yDWhQYMGVq9ePdMdcJ8UKVLE9u7dayVKlIi5qf/73/+co+z+wfYXX3yRZYC9bds2O++88zLtnFesWNEWLlxojRo1isrGDz74wC6//PJMCfIKFCjg7LQ3b948Kn00hgAEIACB9CNAgJ5+PmfGEIAABCAAgZgT0N3txo0bB+gdN26ccwc7+Ej75MmTbcCAATG3YdGiRU6A7JPatWs7JdJCye+//25NmjQxBdX+oj4rVqywChUq5Mg+JZdr06aNbdmyJaC/stdr8eK0007LkV46QQACEIBAehAgQE8PPzNLCEAAAhCAQFwJKOB+6qmn3DH+9Kc/OXXDS5cubWeeeab997//db9r2LBhzJKx+U+qb9++zjFznwwbNszJyB5Kgkuxqc1f//pX+/DDD5275rmRb775xjk5oDv5/nLDDTcEMMrNGPSFAAQgAIHUJECAnpp+ZVYQgAAEIACBPCOgI+Vly5YNOCretm1be/XVVx0bVFpt9OjRAfYoEFYQGytRiTRlbz948KCrcvPmzXbuuedmGuKXX35xgvAff/wx4LuXXnrJOnfuHBOTgnfzpVS14D/77DOrXr16TMZACQQgAAEIpB4BAvTU8ykzggAEIAABCOQpASVB6927d8CYzz//vFO2TKK73jVr1gz4/pZbbrHx48fHzE5lYve/461s8trJDlXS7YknnjCN7y8XXHCBbdy4MWb2SFHTpk0z6Rw0aJBNnDgxpuOgDAIQgAAEUocAAXrq+JKZQAACEIAABBJCoEWLFrZu3Tp37OLFi9u+fftMCeF8ovvp/jXGS5YsabqvrVJksRBlan/sscdcVTfeeKM9+eSTIVVrV/3dd98N+E5J4fzvr8fCplC76LqDrhJt2k1HIAABCEAAAsEECNB5JiAAAQhAAAIQyDGBL7/80mrUqGEnT550dVx77bX2zDPPBOgMtWs9b94869atW47H9u+oUmg7duxwP1q+fLmTrC1YtHCg3XV/e7WgoPvisQ6aT5w44dxr//nnnwPM0G6/6rMjEIAABCAAAQJ0ngEIQAACEIAABGJGQInYxowZE6BPtcW1q+4vBw4cMGUyV/Z0n7Rq1cpee+21XNuiTO1169Z19RQrVsy5i16wYMFMul9++eVM98wvvfRSW7ZsWa7tCKVAupUV3l8efvhhGzp0aFzGQykEIAABCCQ3AXbQk9t/WA8BCEAAAhBIGAElZlOyNR1V94n+/fXXX4e8+92hQwdbsmSJ2zZfvnz21Vdf2d/+9rdczUGZ2ocPH+7quPLKK+2FF14IqfOBBx6w+++/P+C7kSNHBvTPlTFBnaX73nvvDfi0Z8+eNnv27FgOgy4IQAACEEgRAgToKeJIpgEBCEAAAhDIawJLly619u3bBwybXWmzF1980bp27RrQXsHyfffdlyvTg++Uz5kzx3r06BFSZ3ApNjXScXwdy4+HSPd1110XoFrJ4zZs2BCP4dAJAQhAAAJJToAAPckdiPkQgAAEIACBRBFQUjUlQvMXlRHLyMgIadJvv/3mlELzL2+m3XPtoms3PSeiWusVK1Z075Sr/rqO05966qkh1WlBQQsL/qJj7506dcrJ8GH7hDpSX7t2bdOxfAQCEIAABCAQTIAAnWcCAhCAAAQgAIGoCXz33XdWoUKFgDvljRo1ypQdPVhx//79berUqQEf6x667qPnRJSpfeDAgW7Xiy++2FavXp2lqn/84x/2+uuvB3y/atUq0+fxENkSPLeqVauakushEIAABCAAAQJ0ngEIQAACEIAABHJN4NFHH7U777wzQM+ECRPs5ptvzla3jnb//e9/D2ijTO7K6J4TUab2lStXul3D2RDcXh3juYOu8m1XXHFFwNRq1aplW7duzcl06QMBCEAAAilOgB30FHcw04MABCAAAQjEg0DNmjVt27ZtrmodLVeyuNKlS2c7nMqbaQd5586dbjvVQldf1UaPRlS+TOMdO3bM7aYEddklnVMCuQULFgQMM2PGDOvTp080Q0fcdvr06davX7+A9k2aNLFNmzZFrIOGEIAABCCQPgQI0NPH18wUAhCAAAQgEBMCGzduNCU685d27doFZGjPbiBlNVd2c38Jt/MdSt/8+fOte/fu7lfnnHOO/ec//8l2joMHDzaN5S933323jR49OiZsgpVIt8qq+Yt21IMXCeIyOEohAAEIQCDpCBCgJ53LMBgCEIAABCCQWALKeK5dZ39RWTPtTkciun9dvXr1gKb16tWzDz/8MJLubhtlan/++efdf0eSEX7y5Mk2aNCggHEuueSSTLXKozIkm8bSHVzrPZ4LArGyGz0QgAAEIJAYAgToieHOqBCAAAQgAIGkJHD48GEnE/uRI0dc+0uUKGH79u2zwoULRzyn888/P9Mx7/fee88aNmwYkY7ff//dOd7+008/ue0/+OADq1+/frb93333XVNZNn+R/Up6V7BgwYjGjrSRjt6ffvrpATaq70svvWSdO3eOVA3tIAABCEAgjQgQoKeRs5kqBCAAAQhAILcEpk2bZtdff32AGtX5Ds7MHm6c4Ozraj9gwADTDnckoszrrVu3dpvq3rnun4eTEydOOIH9oUOHApouXrw4U033cLrCfb9kyRLr0KFDQLP8+fPbwYMHsywDF04n30MAAhCAQGoTIEBPbf8yOwhAAAIQgEBMCYTa+V63bl2mzOzhBlWAXLZs2YAEb6pdrmRxRYoUCdfdbrrpJps0aZLb7pZbbrHx48eH7acGWmDQQoO/xONeeKiEdFpU8M86H5HBNIIABCAAgbQhQICeNq5mohCAAAQgAIHcEfj000+tdu3aAUrOPPNM++qrr+yUU06JWrmOeavEmb/Mnj3bevbsGVZXpUqVbPfu3W471Ta/6KKLwvZTg/fff99Us91fZP/HH39sderUiUhHuEZiVbduXdOOvb9wvD0cOb6HAAQgkN4ECNDT2//MHgIQgAAEIBAxgSFDhthjjz0W0H748OGZMrJHqlDBefBd7JYtW9qaNWuyVREcYGvn/cCBA6ZSb5FK27Ztbfny5QHNdRz9lVdeiVRFtu1CLT6cffbZpnvy+fLli8kYKIEABCAAgdQjQICeej5lRhCAAAQgAIGYE1BStvLlyzuBsL9s377datSokaPxlERNx9z974NrJ1tZ3qtUqZKlzuAybdpx1857NKIdbmWO/+OPPwK6zZo1y3r37h2NqkxtldG+W7dumT5fvXq1XXzxxbnSTWcIQAACEEhtAgToqe1fZgcBCEAAAhCICQEdze7SpUuAriZNmmTKxB7tYAMHDjQljPOXcLvyCqx1HN0n0ZR48x9nzJgxNmzYsICxixcvbps3b7aMjIxop+K037lzpzVu3Ni+//77gP4q7TZx4sQc6aQTBCAAAQikDwEC9PTxNTOFAAQgAAEI5JhAqCPhCjiDa4pHO8Dbb79tF1xwQUC3ChUq2K5du0IeBVcA7L+7XqhQIWdXv1ixYtEO7dwPb9OmjSkjvL/ofvvGjRtNdkQjsuPCCy+0L774IqBbgwYNHH3RlKGLZlzaQgACEIBA6hAgQE8dXzITCEAAAhCAQFwI7Nmzx1TG7Pjx467+AgUKOBnXS5UqlesxdUQ+OKhdtmyZXXrppZl0P/7443brrbe6n6uN2uZUVEe9WbNmtmXLlgAV1apVs6VLl9pZZ50VkWolrGvXrl3Azr46Vq5c2d566y2ndjwCAQhAAAIQCEeAAD0cIb6HAAQgAAEIpDmBUaNG2YgRIwIoxDKh2oMPPmj33XdfgP6syp4pidwbb7zhtn3qqafshhtuyJWHtAAhvcGLBEo+N2fOHNPpgexEAbjs3bdvX0CzihUrOgnvFOwjEIAABCAAgUgIEKBHQok2EIAABCAAgTQlcPLkSSfAVCk1f1mwYIETlMZCdGy9atWqprF8oh16Bc6lS5d2P1MyuTJlyriJ3ZRQ7ptvvrFy5crl2oz9+/dbq1atMu2kS3GvXr2c7PXBpwWOHDliui8/YcKETOXUqlevbkoKp+PyCAQgAAEIQCBSAgTokZKiHQQgAAEIQCANCWgHOFTm8Vq1apmC6FjJ1q1bM2VUV1Dsf5z92WeftWuuucYdMtokdV9//bVz5Dwnoh3++++/P6DrzJkzrW/fvjlRZ2vXrrUWLVrkqC+dIAABCEAgdQkQoKeub5kZBCAAAQhAINcEVMJs7ty5udaTEwW1a9e2Tz75xO2qHfuFCxe6/x49erTdfffdEasmQI8YFQ0hAAEIQCBBBAjQEwSeYSEAAQhAAAJeJ/Djjz86dcqPHj2aMFM3bdpk2imXDTpirmPlPtGuu3byIxUC9EhJ0Q4CEIAABBJFgAA9UeQZFwIQgAAEIOBxApMmTbKbbropoVZef/319vTTTzsZ1du3b+/aonvxwUndwhmqrPPhEr5lpePGG280/ecvixcvtnvvvTfcsCG/nzZtmjVq1ChHfekEAQhAAAKpS4AAPXV9y8wgAAEIQAACKUNAgbqCWp8MGTLExo4dmzLzYyIQgAAEIAABESBA5zmAAAQgAAEIQMDTBE6cOOFkalemdZ9s2LDBmjZt6mm7MQ4CEIAABCAQLQEC9GiJ0R4CEIAABCAAgTwloDrjF154oTumSq+p5ni+fPny1A4GgwAEIAABCMSbAAF6vAmjHwIQgAAEIACBXBEYOnSoPfLII64OlTabPn16rnTSGQIQgAAEIOBFAgToXvQKNkEAAhCAAAQg4BLIyMiw7du3u/9etGiRdezYEUIQgAAEIACBlCNAgJ5yLmVCEIAABCAAAQhAAAIQgAAEIJCMBAjQk9Fr2AwBCEAAAhCAAAQgAAEIQAACKUeAAD3lXMqEIAABCEAAAhCAAAQgAAEIQCAZCRCgJ6PXsBkCEIAABCAAAQhAAAIQgAAEUo4AAXrKuZQJQQACEIAABCAAAQhAAAIQgEAyEiBAT0avYTMEIAABCEAAAhCAAAQgAAEIpBwBAvSUcykTggAEIAABCEAAAhCAAAQgAIFkJPB/5JUZpoi3XhsAAAAASUVORK5CYII=\" width=\"500\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(5,3.5))\n",
    "\n",
    "\n",
    "plt.errorbar(delta_Omega, P_star_noB, yerr=P_star_noB_err, marker='o', lw = 1.5, c='xkcd:scarlet', markersize=7, \n",
    "             markerfacecolor='xkcd:salmon', markeredgewidth=1.5, markeredgecolor='xkcd:scarlet', label='star')\n",
    "plt.errorbar(delta_Omega, P_star_noB, yerr=P_star_noB_err, marker='o', lw = 1.5, c='xkcd:scarlet', markersize=7, \n",
    "             markerfacecolor='xkcd:salmon', markeredgewidth=1.5, markeredgecolor='xkcd:scarlet', label='star')\n",
    "plt.errorbar(delta_Omega, P_2star_noB, yerr=P_2star_noB_err, marker='o', lw = 1.5, c='xkcd:dark grass green', \n",
    "             markersize=7, markerfacecolor='xkcd:pear', markeredgewidth=1.5, markeredgecolor='xkcd:dark grass green', label='2-star')\n",
    "plt.errorbar(delta_Omega, P_3star_noB, yerr=P_3star_noB_err, marker='o', lw = 1.5, c='xkcd:prussian blue', \n",
    "             markersize=7, markerfacecolor='xkcd:baby blue', markeredgewidth=1.5, markeredgecolor='xkcd:prussian blue', label='3-star')\n",
    "plt.errorbar(delta_Omega, P_4star_noB, yerr=P_4star_noB_err, marker='o', lw = 1.5, c='xkcd:pumpkin', \n",
    "             markersize=7, markerfacecolor='xkcd:light peach', markeredgewidth=1.5, markeredgecolor='xkcd:pumpkin', label='4-star')\n",
    "# plt.errorbar(delta_Omega, P_5star_noB, yerr=P_5star_noB_err, marker='o', lw = 1.5, c='xkcd:gold', markersize=7, \n",
    "#              markerfacecolor='xkcd:light gold', markeredgewidth=1.5, markeredgecolor='xkcd:gold', label='5-star')\n",
    "plt.xlabel('$\\Delta/\\Omega$', fontsize=18)\n",
    "plt.ylabel(r'$\\langle Z \\rangle$', fontsize=18, labelpad=15, rotation=270)\n",
    "plt.ylim(-0.06,0.16)\n",
    "plt.xticks(fontsize=14)\n",
    "plt.yticks(np.arange(-0.05,0.16,0.05),fontsize=14)\n",
    "\n",
    "plt.axhline(y = 0, c='k', lw = 0.8)\n",
    "\n",
    "plt.subplots_adjust(left=0.18, right=0.95, top=0.95, bottom=0.17)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "[P_half_star_noB, P_half_star_noB_err] = parity_mean(halfstar_noboundaries,ryd_this_param,relevant_reps_per_param)\n",
    "[P_half_2star_noB, P_half_2star_noB_err] = parity_mean(halfstar2_noboundaries,ryd_this_param,relevant_reps_per_param)\n",
    "[P_half_4star_noB, P_half_4star_noB_err] = parity_mean(halfstar4_noboundaries,ryd_this_param,relevant_reps_per_param)\n",
    "[P_half_6star_noB, P_half_6star_noB_err] = parity_mean(halfstar6_noboundaries,ryd_this_param,relevant_reps_per_param)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "P_ratio_single_noB = P_half_star_noB/np.sqrt(np.abs(P_star_noB))\n",
    "P_ratio_double_noB = P_half_2star_noB/np.sqrt(np.abs(P_2star_noB))\n",
    "P_ratio_four_noB = P_half_4star_noB/np.sqrt(np.abs(P_4star_noB))\n",
    "P_ratio_six_noB = P_half_6star_noB/np.sqrt(np.abs(P_6star))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "    if (this.ratio !== 1) {\n",
       "        fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n",
       "    }\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    var resizeObserver = new ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    resizeObserver.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.one(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"500\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(5,3.5))\n",
    "plt.errorbar(delta_Omega, P_ratio_single_noB, yerr=np.sqrt((P_half_star_noB_err/P_half_star_noB)**2 + \n",
    "                                                            (P_star_noB_err/P_star_noB)**2)*P_ratio_single_noB,\n",
    "                                                    marker='o', lw=1.5, c='xkcd:scarlet', markersize=7, \n",
    "             markerfacecolor='xkcd:salmon', markeredgewidth=1.5, markeredgecolor='xkcd:scarlet', label='star')\n",
    "plt.errorbar(delta_Omega, P_ratio_double_noB, yerr=np.sqrt((P_half_2star_noB_err/P_half_2star_noB)**2 + \n",
    "                                                            (P_2star_noB_err/P_2star_noB)**2)*P_ratio_double_noB,\n",
    "                                                    marker='o', lw=1.5, c='xkcd:sap green', markersize=7, \n",
    "             markerfacecolor='xkcd:pear', markeredgewidth=1.5, markeredgecolor='xkcd:sap green', label='2-star')\n",
    "plt.errorbar(delta_Omega, P_ratio_four_noB, yerr=np.sqrt((P_half_4star_noB_err/P_half_4star_noB)**2 + \n",
    "                                                            (P_4star_noB_err/P_4star_noB)**2)*P_ratio_four_noB,\n",
    "                                                    marker='o', lw=1.5, c='xkcd:pumpkin', markersize=7, \n",
    "             markerfacecolor='xkcd:light peach', markeredgewidth=1.5, markeredgecolor='xkcd:pumpkin', label='4-star')\n",
    "plt.errorbar(delta_Omega, P_ratio_six_noB, yerr=np.sqrt((P_half_6star_noB_err/P_half_6star_noB)**2 + \n",
    "                                                            (P_6star_err/P_6star)**2)*P_ratio_six_noB,\n",
    "                                                    marker='o', lw=1.5, c='xkcd:gold', markersize=7, \n",
    "             markerfacecolor='xkcd:light gold', markeredgewidth=1.5, markeredgecolor='xkcd:gold', label='6-star')\n",
    "plt.xlabel('$\\Delta/\\Omega$', fontsize=18)\n",
    "plt.ylabel(r'$\\langle Z_{BFFM} \\rangle$', fontsize=18)\n",
    "plt.ylim(-0.3,0.7)\n",
    "plt.xticks(fontsize=14)\n",
    "plt.yticks(fontsize=14)\n",
    "# plt.legend()\n",
    "\n",
    "plt.axhline(y = 0, c='k', ls = '--',lw = 0.8)\n",
    "\n",
    "plt.subplots_adjust(left=0.2, right=0.95, top=0.95, bottom=0.17)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "atoms_on_loop = [12,16,18,20,22]\n",
    "vertices_enclosed = [6,11,15,19,23]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "P_star_norm_area = np.abs(P_star_noB)**(1/vertices_enclosed[0])\n",
    "P_2star_norm_area = np.abs(P_2star_noB)**(1/vertices_enclosed[1])\n",
    "P_3star_norm_area = np.abs(P_3star_noB)**(1/vertices_enclosed[2])\n",
    "P_4star_norm_area = np.abs(P_4star_noB)**(1/vertices_enclosed[3])\n",
    "P_5star_norm_area = np.abs(P_5star_noB)**(1/vertices_enclosed[4])\n",
    "\n",
    "P_star_norm_surf = np.abs(P_star_noB)**(1/atoms_on_loop[0])\n",
    "P_2star_norm_surf = np.abs(P_2star_noB)**(1/atoms_on_loop[1])\n",
    "P_3star_norm_surf = np.abs(P_3star_noB)**(1/atoms_on_loop[2])\n",
    "P_4star_norm_surf = np.abs(P_4star_noB)**(1/atoms_on_loop[3])\n",
    "P_5star_norm_surf = np.abs(P_5star_noB)**(1/atoms_on_loop[4])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "    if (this.ratio !== 1) {\n",
       "        fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n",
       "    }\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    var resizeObserver = new ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    resizeObserver.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.one(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"500\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### AREA LAW SCALING\n",
    "\n",
    "plt.figure(figsize=(5,3.5))\n",
    "plt.errorbar(delta_Omega, P_star_norm_area, yerr=(1/vertices_enclosed[0])*np.abs(P_star_noB)**(1/vertices_enclosed[0]-1)*P_star_noB_err, \n",
    "             marker='o', c='xkcd:dark coral', markersize=7, markerfacecolor='xkcd:light salmon', markeredgewidth=1.5, \n",
    "             markeredgecolor='xkcd:dark coral', label='star')\n",
    "plt.errorbar(delta_Omega, P_2star_norm_area, yerr=(1/vertices_enclosed[1])*np.abs(P_2star_noB)**(1/vertices_enclosed[1]-1)*P_2star_noB_err,\n",
    "             marker='o', c='xkcd:light navy', markersize=7, markerfacecolor='xkcd:baby blue', markeredgewidth=1.5, \n",
    "             markeredgecolor='xkcd:light navy', label='2-star')\n",
    "plt.errorbar(delta_Omega, P_3star_norm_area, yerr=(1/vertices_enclosed[2])*np.abs(P_3star_noB)**(1/vertices_enclosed[2]-1)*P_3star_noB_err,\n",
    "             marker='o', c='xkcd:sap green', markersize=7, markerfacecolor='xkcd:pear', markeredgewidth=1.5, \n",
    "             markeredgecolor='xkcd:sap green', label='3-star')\n",
    "plt.errorbar(delta_Omega, P_4star_norm_area, yerr=(1/vertices_enclosed[3])*np.abs(P_4star_noB)**(1/vertices_enclosed[3]-1)*P_4star_noB_err,\n",
    "             marker='o', c='xkcd:pumpkin', markersize=7, markerfacecolor='xkcd:light peach', markeredgewidth=1.5, \n",
    "             markeredgecolor='xkcd:pumpkin', label='4-star')\n",
    "plt.errorbar(delta_Omega, P_5star_norm_area, yerr=(1/vertices_enclosed[4])*np.abs(P_5star_noB)**(1/vertices_enclosed[4]-1)*P_5star_noB_err, \n",
    "             marker='o', c='xkcd:gold', markersize=7, \n",
    "             markerfacecolor='xkcd:light gold', markeredgewidth=1.5, markeredgecolor='xkcd:gold', label='5-star')\n",
    "plt.xlabel('$\\Delta/\\Omega$', fontsize=18)\n",
    "plt.ylabel(r'$\\langle Z \\rangle^{1/n}$', fontsize=18)\n",
    "plt.ylim(0.32,0.9)\n",
    "plt.xticks(fontsize=13)\n",
    "plt.yticks(fontsize=13)\n",
    "# plt.legend()\n",
    "\n",
    "plt.axhline(y = 0, c='k', ls = '--',lw = 0.8)\n",
    "\n",
    "plt.subplots_adjust(left=0.2, right=0.95, top=0.95, bottom=0.17)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "    if (this.ratio !== 1) {\n",
       "        fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n",
       "    }\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    var resizeObserver = new ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    resizeObserver.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.one(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"500\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### PERIMETER LAW SCALING\n",
    "\n",
    "plt.figure(figsize=(5,3.5))\n",
    "plt.errorbar(delta_Omega, P_star_norm_surf, yerr=(1/atoms_on_loop[0])*np.abs(P_star_noB)**(1/atoms_on_loop[0]-1)*P_star_noB_err, \n",
    "             marker='o', c='xkcd:dark coral', markersize=7, markerfacecolor='xkcd:light salmon', markeredgewidth=1.5, \n",
    "             markeredgecolor='xkcd:dark coral', label='star')\n",
    "plt.errorbar(delta_Omega, P_2star_norm_surf, yerr=(1/atoms_on_loop[1])*np.abs(P_2star_noB)**(1/atoms_on_loop[1]-1)*P_2star_noB_err,\n",
    "             marker='o', c='xkcd:light navy', markersize=7, markerfacecolor='xkcd:baby blue', markeredgewidth=1.5, \n",
    "             markeredgecolor='xkcd:light navy', label='2-star')\n",
    "plt.errorbar(delta_Omega, P_3star_norm_surf, yerr=(1/atoms_on_loop[2])*np.abs(P_3star_noB)**(1/atoms_on_loop[2]-1)*P_3star_noB_err,\n",
    "             marker='o', c='xkcd:sap green', markersize=7, markerfacecolor='xkcd:pear', markeredgewidth=1.5, \n",
    "             markeredgecolor='xkcd:sap green', label='3-star')\n",
    "plt.errorbar(delta_Omega, P_4star_norm_surf, yerr=(1/atoms_on_loop[3])*np.abs(P_4star_noB)**(1/atoms_on_loop[3]-1)*P_4star_noB_err,\n",
    "             marker='o', c='xkcd:pumpkin', markersize=7, markerfacecolor='xkcd:light peach', markeredgewidth=1.5, \n",
    "             markeredgecolor='xkcd:pumpkin', label='4-star')\n",
    "plt.errorbar(delta_Omega, P_5star_norm_surf, yerr=(1/atoms_on_loop[4])*np.abs(P_5star_noB)**(1/atoms_on_loop[4]-1)*P_5star_noB_err, \n",
    "             marker='o', c='xkcd:gold', markersize=7, \n",
    "             markerfacecolor='xkcd:light gold', markeredgewidth=1.5, markeredgecolor='xkcd:gold', label='5-star')\n",
    "plt.xlabel('$\\Delta/\\Omega$', fontsize=18)\n",
    "plt.ylabel(r'$\\langle Z \\rangle^{1/n}$', fontsize=18)\n",
    "plt.ylim(0.32,0.9)\n",
    "plt.xticks(fontsize=13)\n",
    "plt.yticks(fontsize=13)\n",
    "# plt.legend()\n",
    "\n",
    "plt.axhline(y = 0, c='k', ls = '--',lw = 0.8)\n",
    "\n",
    "plt.subplots_adjust(left=0.2, right=0.95, top=0.95, bottom=0.17)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "Z_1n = np.array([P_star_norm_surf,P_2star_norm_surf,P_3star_norm_surf,P_4star_norm_surf,P_5star_norm_surf])\n",
    "Z = np.array([P_star_noB,P_2star_noB,P_3star_noB,P_4star_noB,P_5star_noB])\n",
    "Z_err = np.array([P_star_noB_err,P_2star_noB_err,P_3star_noB_err,P_4star_noB_err,P_5star_noB_err])\n",
    "Z_1n_err = np.zeros((5,len(params)))\n",
    "\n",
    "for size in np.arange(5):\n",
    "    for par in np.arange(len(params)):\n",
    "        Z_1n_err[size,par]=(1/atoms_on_loop[size])*np.abs(Z[size,par])**(1/atoms_on_loop[size]-1)*Z_err[size,par]\n",
    "            \n",
    "Z_1n_A = np.array([P_star_norm_area,P_2star_norm_area,P_3star_norm_area,P_4star_norm_area,P_5star_norm_area])\n",
    "Z = np.array([P_star_noB,P_2star_noB,P_3star_noB,P_4star_noB,P_5star_noB])\n",
    "Z_err = np.array([P_star_noB_err,P_2star_noB_err,P_3star_noB_err,P_4star_noB_err,P_5star_noB_err])\n",
    "Z_1n_A_err = np.zeros((5,len(params)))\n",
    "\n",
    "for size in np.arange(5):\n",
    "    for par in np.arange(len(params)):\n",
    "        Z_1n_A_err[size,par]=(1/vertices_enclosed[size])*np.abs(Z[size,par])**(1/vertices_enclosed[size]-1)*Z_err[size,par]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "    if (this.ratio !== 1) {\n",
       "        fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n",
       "    }\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    var resizeObserver = new ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    resizeObserver.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.one(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "param = 5\n",
    "Z_1n_final = np.mean(Z_1n[2:,param])\n",
    "\n",
    "plt.figure(figsize=(8,3))\n",
    "\n",
    "plt.subplot(121)\n",
    "plt.errorbar(atoms_on_loop, Z_1n[:,param], yerr=Z_1n_err[:,param], marker='o', c='xkcd:dark green blue', \n",
    "             markersize=7, markerfacecolor='xkcd:tealish', markeredgewidth=1.5, markeredgecolor='xkcd:dark green blue', label='perimeter')\n",
    "plt.xlabel('$n$', fontsize=18)\n",
    "plt.ylabel(r'$\\langle Z \\rangle^{1/n}$', fontsize=18)\n",
    "plt.xlim(11,25)\n",
    "plt.ylim(0.68,0.92)\n",
    "plt.xticks(np.arange(12,25,2),fontsize=13)\n",
    "plt.yticks(np.arange(0.7,0.92,0.05),fontsize=13)\n",
    "plt.legend()\n",
    "plt.title('$\\Delta/\\Omega$ = %.1f' %(delta_Omega[param]), fontsize=16)\n",
    "\n",
    "plt.axhline(y = Z_1n_final, c='k', ls = '--',lw = 0.8)\n",
    "\n",
    "plt.subplot(122)\n",
    "plt.errorbar(vertices_enclosed, Z_1n_A[:,param], yerr=Z_1n_A_err[:,param], marker='o', c='xkcd:deep sea blue', markersize=7, \n",
    "             markerfacecolor='xkcd:azure', markeredgewidth=1.5, markeredgecolor='xkcd:deep sea blue', label='area')\n",
    "plt.xlabel('$n$', fontsize=18)\n",
    "plt.ylabel(r'$\\langle Z \\rangle^{1/n}$', fontsize=18)\n",
    "plt.xlim(4,28)\n",
    "plt.ylim(0.68,0.92)\n",
    "plt.xticks(fontsize=13)\n",
    "plt.yticks(np.arange(0.7,0.92,0.05),fontsize=13)\n",
    "plt.legend()\n",
    "\n",
    "plt.subplots_adjust(left=0.12, right=0.97, top=0.85, bottom=0.18, wspace=0.35)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Define new strings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "    if (this.ratio !== 1) {\n",
       "        fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n",
       "    }\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    var resizeObserver = new ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    resizeObserver.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.one(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Plot traps indices\n",
    "\n",
    "plt.figure()\n",
    "\n",
    "draw_kagome_backbone(0.5)\n",
    "plt.scatter(trap_positions_desired_rescaled[:,0], trap_positions_desired_rescaled[:,1], s=20, c='grey')\n",
    "# plt.scatter(trap_positions[:,0], trap_positions[:,1], s=60, c='xkcd:tomato')\n",
    "\n",
    "for i in np.arange(len(trap_positions_desired)):\n",
    "    plt.text(trap_positions_desired_rescaled[i,0], trap_positions_desired_rescaled[i,1], str(i),\n",
    "             fontsize=7, c='red', ha='center')\n",
    "\n",
    "    \n",
    "plt.gca().set_aspect(1)\n",
    "plt.xticks([])\n",
    "plt.yticks([])\n",
    "plt.axis('off')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-46-80e53899be8b>:15: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).\n",
      "  plt.figure(figsize=(5,5))\n"
     ]
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "    if (this.ratio !== 1) {\n",
       "        fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n",
       "    }\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    var resizeObserver = new ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    resizeObserver.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.one(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
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\" width=\"500\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### Draw kagome lattice backbone\n",
    "\n",
    "origin = trap_positions_desired[129] # This trap is in 'orientation 0' (horizontal line)\n",
    "\n",
    "xmin = np.min(trap_positions_desired[:, 0])\n",
    "xmax = np.max(trap_positions_desired[:, 0])\n",
    "ymin = np.min(trap_positions_desired[:, 1])\n",
    "ymax = np.max(trap_positions_desired[:, 1])\n",
    "\n",
    "x_spacing = dx * 8\n",
    "y_spacing = dy * 4\n",
    "\n",
    "kagome_backbone_style = {\"color\":\"black\", \"alpha\":0.2}\n",
    "\n",
    "plt.figure(figsize=(5,5))\n",
    "plt.clf()\n",
    "\n",
    "def draw_kagome_backbone():\n",
    "    for x_offset in range(-6, 7):\n",
    "        dist_to_ymin = origin[1] - ymin\n",
    "        dist_to_ymax = ymax - origin[1]\n",
    "\n",
    "        left_xshift = dist_to_ymin / np.sqrt(3)\n",
    "        right_xshift = dist_to_ymax / np.sqrt(3)\n",
    "\n",
    "        plt.plot([origin[0] + 2*dx - left_xshift + x_spacing * x_offset, \n",
    "                  origin[0] + 2*dx + right_xshift + x_spacing * x_offset], [ymin, ymax], **kagome_backbone_style)\n",
    "        plt.plot([origin[0] - 2*dx + left_xshift + x_spacing * x_offset, \n",
    "                  origin[0] - 2*dx - right_xshift + x_spacing * x_offset], [ymin, ymax], **kagome_backbone_style)\n",
    "\n",
    "    for y_offset in range(-6, 7):\n",
    "        plt.plot([xmin - 2*dx, xmax + 2*dx], [origin[1] + y_spacing * y_offset]*2, **kagome_backbone_style)\n",
    "        \n",
    "    plt.xlim(xmin - 2*dx, xmax + 2*dx)\n",
    "    plt.ylim(ymin - 2*dy, ymax + 2*dy)\n",
    "    plt.axis('off')\n",
    "    plt.gca().set_aspect(1)\n",
    "        \n",
    "draw_kagome_backbone()\n",
    "        \n",
    "plt.scatter(trap_positions_desired[:, 0], trap_positions_desired[:, 1], c='gray')\n",
    "plt.gca().set_aspect(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "    if (this.ratio !== 1) {\n",
       "        fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n",
       "    }\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    var resizeObserver = new ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    resizeObserver.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.one(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### Define the loop on which we want to measure parity\n",
    "\n",
    "# Here we will keep track of which of the traps have been selected.\n",
    "target_trap_indices_are_selected = np.zeros(len(trap_positions_desired), dtype=np.bool)\n",
    "\n",
    "fig = plt.figure(\"Target trap coordinates:\")\n",
    "\n",
    "def click(event):\n",
    "    # Note: printing within this block does not go to the console, so it is hard to read.\n",
    "    plt.clf()\n",
    "    plt.title(\"Click trap to toggle\");\n",
    "    \n",
    "    clicked_coord_x = event.xdata\n",
    "    clicked_coord_y = event.ydata\n",
    "\n",
    "    # Did we click within 2.0 diffraction unit of an actual trap?\n",
    "    tolerance = 2.0\n",
    "    \n",
    "    distances_from_target_traps = np.sqrt((clicked_coord_x - trap_positions_desired[:, 0])**2.0 + \n",
    "                                          (clicked_coord_y - trap_positions_desired[:, 1])**2.0)\n",
    "    min_distance = np.min(distances_from_target_traps)\n",
    "    closest_trap_index = np.argmin(distances_from_target_traps)\n",
    "    \n",
    "    if min_distance <= tolerance:\n",
    "        # Toggle whether this trap is selected.\n",
    "        target_trap_indices_are_selected[closest_trap_index] = 1 - target_trap_indices_are_selected[closest_trap_index]\n",
    "    \n",
    "    selected_indices = target_trap_indices_are_selected\n",
    "    unselected_indices = np.logical_not(target_trap_indices_are_selected)\n",
    "    \n",
    "    \n",
    "    \n",
    "    draw_kagome_backbone()\n",
    "    \n",
    "    # Plot all traps, with color coding about which traps are currently selected.\n",
    "    plt.scatter(trap_positions_desired[selected_indices, 0],\n",
    "                trap_positions_desired[selected_indices, 1], c='C1')\n",
    "    \n",
    "    plt.scatter(trap_positions_desired[unselected_indices, 0],\n",
    "                trap_positions_desired[unselected_indices, 1], c='C0')\n",
    "    \n",
    "    \n",
    "    indices = np.where(target_trap_indices_are_selected)[0]\n",
    "    for i in range(len(indices)):\n",
    "        plt.annotate(\"%d\" %i, \n",
    "                     (trap_positions_desired[indices[i], 0],\n",
    "                      trap_positions_desired[indices[i], 1]),\n",
    "                     ha='center', va='center'\n",
    "                    )\n",
    "\n",
    "    plt.gca().set_aspect(1)\n",
    "    \n",
    "cid = fig.canvas.mpl_connect(\"button_press_event\", click)\n",
    "\n",
    "draw_kagome_backbone()\n",
    "plt.scatter(trap_positions_desired[:, 0], trap_positions_desired[:, 1])\n",
    "\n",
    "plt.gca().set_aspect(1)\n",
    "plt.title(\"Click trap to toggle\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Selected indices of target traps:\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([130, 137, 145, 152])"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(\"Selected indices of target traps:\")\n",
    "selected_trap_indices = np.where(target_trap_indices_are_selected)[0]\n",
    "loop = selected_trap_indices\n",
    "loop"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "### calculate parity on the single loop ###\n",
    "single_loop = loop\n",
    "[parity_single_loop, parity_single_loop_err] = parity(single_loop,ryd_this_param,relevant_reps_per_param)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "    if (this.ratio !== 1) {\n",
       "        fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n",
       "    }\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    var resizeObserver = new ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    resizeObserver.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.one(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8,4))\n",
    "plt.subplot(121)\n",
    "plt.errorbar(delta_Omega,parity_single_loop,yerr=[parity_single_loop_err[:, i] for i in [0, 1]],marker='o', c='xkcd:dark coral', markersize=5, \n",
    "         markerfacecolor='xkcd:light salmon', markeredgewidth=1.5, markeredgecolor='xkcd:dark coral')\n",
    "plt.xlabel('$\\delta/\\Omega$')\n",
    "plt.ylabel('Parity')\n",
    "\n",
    "plt.axhline(y = 0, c='k', ls = '--',lw = 0.8)\n",
    "\n",
    "plt.subplot(122)\n",
    "plt.scatter(trap_positions_desired[:, 0],\n",
    "            trap_positions_desired[:, 1], c='grey', s=20)\n",
    "plt.scatter(trap_positions_desired[single_loop, 0],\n",
    "            trap_positions_desired[single_loop, 1], c='xkcd:dark coral', s=30)\n",
    "\n",
    "plt.xticks([])\n",
    "plt.yticks([])\n",
    "draw_kagome_backbone()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "# For convenience: let's generate a dictionary that makes it easy to tell\n",
    "# if a trap with a given set of coordinates exists in our target array.\n",
    "# Note that we are using as the key a 'string' which contains the x and y coordinates to 2 decimal points.\n",
    "# This is actually a bit more reliable than using the numbers themselves as the keys,\n",
    "# since floating point errors (very small errors in the 15-th bit of the number, for example)\n",
    "# can be confusing. (ie., 100.0 is in the dictionary, but not 100.0000000001)\n",
    "target_trap_dictionary = {}\n",
    "for i in range(len(trap_positions_desired)):\n",
    "    x, y = trap_positions_desired[i]\n",
    "    target_trap_dictionary[\"%.2f, %.2f\"%(x,y)] = i"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "sample_string_indices = np.copy(selected_trap_indices)\n",
    "\n",
    "# Let's identify the 'origin' of the string as the first index within the list.\n",
    "# We will identify the distance between this origin and all other traps in the string.\n",
    "sample_string_coordinates = trap_positions_desired[sample_string_indices]\n",
    "string_distances_from_origin = trap_positions_desired[sample_string_indices] - trap_positions_desired[sample_string_indices[0]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Let's iterate over all traps in the array, and see if they can be a valid 'origin' for such a string.\n",
    "\n",
    "all_valid_strings = []\n",
    "\n",
    "for i in range(len(trap_positions_desired)):\n",
    "    origin_candidate = trap_positions_desired[i]\n",
    "    \n",
    "    candidate_string_coordinates = origin_candidate + string_distances_from_origin\n",
    "    \n",
    "    # Are all 'candidate' traps, relative to the proposed origin of this string, actually present in the system?\n",
    "    candidate_traps_are_present = [\"%.2f, %.2f\" %(x, y) in target_trap_dictionary for (x, y) in candidate_string_coordinates]\n",
    "    \n",
    "    if False in candidate_traps_are_present:\n",
    "        # This exact string does not exist in the current set of traps, with trap 'i' as the origin.\n",
    "        continue\n",
    "    else:\n",
    "        # The string exists!\n",
    "        string_indices = [target_trap_dictionary[\"%.2f, %.2f\" %(x, y)] for (x, y) in candidate_string_coordinates]\n",
    "        all_valid_strings.append(string_indices)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "    if (this.ratio !== 1) {\n",
       "        fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n",
       "    }\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    var resizeObserver = new ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    resizeObserver.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.one(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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oMYYp6qQzBin1q7H1y4HSzRTTxyNkydoZpxaG1/bIoBu2iLJfcaFAJoZl5bGz7YIdKmZtnzgPnEESADGceOqRALLy8ty/Pjx3l1cB3T48OHEO+a7/Pbt2/LGG2/Ihx9+uMPI1NSUbG5u7vj3Q4cOyXPPPSf79u1TVQwbelYqoC0WunHjxr3Vqu+//77Mzc21eHf9rWrRjNPG9va2fPTRR0m6QTNoxqeeUdKM8yV3TA+7v4UuLWy0NSb7YivH3xlrwqnm1oyFLi1sWGg/vPXSr0Az4QzRjH7uZMEqvAXTrihFM2lecHUqARKAqQS5PorABx98II888kjv2mvXrsnRo0ej7mNx0S9/+Uu5dOlSsKmnnnpKvvnNb6quw4aelQpoi4VKidVS6qFBGxvP7t5a3cTa0N7f1aUWG5o2a7NMKbFaSj20bHPHW+z9LXRpYSNE+9o2a7NcKfFaSj00bGNjOiQWarAR60OILjXt1XaZUmK1lHpo+MbGwrhpxmoOqGmzNsuMUqy26Tf3up8ACUAiohMCJXVA7g3P0tKSXLlyRdbW1mRmZkZOnDgh8/PzvRV8P/nJT+TWrVvBnA4cOCAvvfRS77oabPh8cH6mstLYCG6IxAtKidVS6pEznt29G934YiE11nL6UZr2EyUQfHkpsVpKPTSxZtF/xmrGQpcWNkJ0GRz0LVxQSryWUg/fGGChmVpsWGi/BQkE36KUWC2lHpqxJjYWQvrPVBvjpP3goE+8oKRYTXSFyxMIkABMgMel8QRK6YDcIHPx4kVZWVnZ4czs7KycOnVKzp8/3/tkMfQ3OTkpZ8+e7SX/Rt3GmTNnvD64ZOm5c+eiWWlthLZDavlSYrWUeuSMZ9dWTjeaWECX+v5FuxVBqlaa60uJ1VLqodGMRf8ZqxkLXVrYCBmTrTXj/C8lXkuoRymasdClhQ0L7aOZ7r9q0ugmNhZC+s8UG5r5n4VmrGy0Ne/S3qeE/l1bV8rlI0ACMB9b7jyEQCkdkG8pvFvy7lYGpqwArMGGWxE57DPo5tOAlLd+WhvWwiolVkupR854dm3r3jJrYgFd3l1hrGkP7VYEbWmrlFgtpR7aNsrdf8ZqxkKXFjaaFSza9mhLD9r7lBKvJdRD20a5NeP6zhpsWGjfepwhab6zZ9HoJjYWQvrPFBua+V8tuhxnzWjHRcrlIUACMA9X7uohUMIE01XRN7HTJCMGuapNio2CDd9grp0YDGOltWEtrlJitZR65NSMa1tN0n0UNKOZoFr50WxFYKWdUmK1lHpoNKNJ5qb2n74Hq2HxkVuXpWnfWjMkM+6PvlI0Y6FLCxsW2kcz3a8A1OgmNhasnmm0zwK+ZGfqeGmhy3HWjNV8FDu7EyABSGR0QqDrB7NmfwnN4R4nT56U9957T9zJSdqf+3z429/+trzzzjuqA0RibBw5ckQeffRReffdd1UrFFNsXL582eu6S2Y89thjwawaPzQ23ASk2ZvRW6GWCnQdq40bXdcjt2acnyGxEBPPFrq0sBGqfWvddB2ro6gZ10aPP/64vP7667tuSTGoO8utGQtdWtgI1aW1ZkgA3o3wkHHGas6RW5e1aB/NdJcADNFNzNwpdM6RYkPzLFCT9sf1maalRzRuE0mABGAkOC5LI9DlA+KwPTJ8D1lvv/22bG1tDXTe7ZGxsLCQ9CCnsfHkk08GJ9r6H7JG2UazN6PVfjNdxmp/oHVZj5yacT6mTuY08WyhSwsbsdq31E2XsTrKmulPUi0uLnrHmphYCHmQc+NZig2fLkvXvqVmSADeTf4N2i952IyziWlfvMXGs4UuLWxYaB/NiFy7dk2OHj2a9pAUcHWMbnJrpqbnjWYxR64xeVw1ExDiFM1AgARgBqjc0k+gywfElGXjzjPNXni5bfjqMawF3Fta3/WaMl3aaD5F8EdaeokuY7WUZEbueHafy2LDRpcWe86gGUmKZ40eUvropv/0aS7Vhmac0fg6qBfX1E/r6zAbFpohARivGcdOGwu+mPTFQW7NaPSg8bUEP9JnX/47MNbE60YTR5oyXT4L1KZ9f8SnlyhFM+mecIcUAiQAU+hxbTSBLjsg3x4Zg5xyq5RefPFF1Wm4uW288sorqs9+d/NF60fJNpo9B6MDMODCLmO1lARg7nh2qzmxoetfUnVpsecMmvHvLztsnHFtpDnNMTYWmv4zt41SxsvU/sVCMyQA4zXj2OWe11hpphbtoxm7FYC5506x44yFLi1sWGo/4NEkumgp87NoB7iwFQIkAFvByE1CCXTZAZ07d062t7dDqyzu85GzZ8/e26PGbVS7vr4u09PTvVNL+/dxyG0j9v7Oaa0fJdtofAhuxIgLuozVUhKAsbGgjTXnJzZ0/Ussp37tR8gg6BI0kx7PDnizr9OgsSY2Fvr7z9w2fPcfFe0HCSCy8LjrJjaeLeY1lpqpRfuRMgi6bNw1Y9F/lqzLGrUfJICIwqVoJqLqXNIiARKALcLkVnoCXXZAKW/LtG81c9uIvb9rIe3quZJtaH3QR+Tgkl3GaikJwNhYCGknbBwQTf8SyylE+6m6QTPxq5nQjD76SmOlr/nuJcddNxZ9W6yN0mKtFj/QTCqB/GNNbKyFzDlKtlGa9lMjppRxJtUPrk8jQAIwjR9XRxLosgPy7eEyyKWQfedy24i9v/NN60fJNrQ+RIbnfZd1GaulJABjYyGknbDxlGj2GovlFKL9VN2gmbR9mTRx4NooNhbQpT7CQ1jp70oCcDcCsfEc0rfF2giJA2zoxrJUvbjrGWvyjwOx8WyhSwsbpWk/VTelaCbVD65PI0ACMI0fV0cS6LID2tjYkAsXLsjm5qa69lNTU3L69GnZv3+/6prcNobd39XVnVR8586dHXUN8aNrG4NAh/igaixPoS5jtZQEYO54dn5iQ9e/WOgyVTdohnguaby06l/QTRoBi76NcUY3zqCZsFjucszLHdNd69Limaat543cbREWlWW/aGrDF+4RT4AEYDw7rkwg0OVgGfs2q6S3QLE+WLwts7AR0hYJYdq7tMtYLSUBGBtvIe2EDd2qiVhOIbpEM6kE8q/KcDWMjQV0qW/fEFb6u5b9YNbVmBcbzyF9W6yNkDjAhm4sS9UL87O7BHPHW+z9LXRpYaM07afqpqv+PbXeXN8uARKA7fLkbkoCuTqg/g3H19bWZGZmZscBHbF7TfSfBLW0tCRuY/aubMT64JpH60fJNvr35NC0uTIsdy2WK1ZD65SzHj6GsbGgjTXHAht39wDM1RYh2g+NzQfL54zVkLrlrEeudgrp21I141jm9sN3/5q0HxKbu5XNGa8hdctVD18sxMZzSN8Wa6M2XZai/ZC4RDPdPNPEasZClxY2StN+LZpJ9YPr0wiQAEzjx9WRBHJMMN3k8uLFi7KysrKjVrOzs3Lq1CnZt29f0mmjZ86cKcLG+fPno04ydmDcaXYaP0q20X+6rKbNI8O0d1mOWI2pT656aHQTGwvaWKtFlxZ+xLZFiPadHym/XLEaWqdc9citmea0eV/fFhsLIf1nig3NOGOhGSsbofE5TonznJoJ6dtS4rkWXVr4odU+mhlMQKMZi74tVjMWurSwYTVeanVZy/wsVftcn0aABGAaP66OJJDjwcy3TL1Zxh37Nsu9BTpx4oRcunRpoNdWNtzqw1u3bkXR1/pRso3mjZy2zaNA/f1FOWI1pj656qFhGBsL2lhzhx7UoEsLP2LbwsVcSHvExGhzTa5YDa1Trnrk1oxbCVqDjVLGSwtdag9uGRbDueK1BN3kjOeQvi22/wyZc2BDP1cOjc1xSpprNGPRt8XGs4UuLWyUpv3UsaaUcSZV+1yfRoAEYBo/ro4k0GYH1HxWsri42Dv8YtDPvcVZWFjoHY5x+fLl4JrPzc3J1atXi7Bx7NgxWV5eDvbBXaD1o2QbJ0+elD179oi2zefn53urP2N+bcZqjP0cSZX+T7F8iWSnm9hY0MRaM4Fzk6yYmNbYQPt3oyiEFZrZqdaQsSZWMyF9W6wNFwdO92jf3yNbacbVpOaxRjNWx8ZzSN8Wa8NClxY2StO+e0nAWHN/PxQyzlg808RqxkKXFjYsdBliw7V5DZrxj76UyEmABGBOutx7IIG2JrrDlsgPMn7kyJHe57M3btxQt5A7hSrk1GALG6F1cs6GXhNa3sJGDNv+T8DVjf73BduK1VC7D5Zvqx4xmrFoVwsbMbETqgELG6F1imGLZnY+lA36JHeQtkPbqZbYCfU7Jj5DbViwTdFMjQnAmLEmtF1riR2L+CyRrWu/FN20NS8a5fnZOMdOaEyHlrdgG2OjBs2kao7r0wiQAEzjx9WRBNoatH1L5AdVL+RtS+zbLwsbpb3NLXkVV8hJXv1x01asRkrl3mVt1SNWM64i2tUwsZqxsGGhSwsbFtpHM5+pNlY3Ws2wkiN//2Khy1jN1JgAzKkZx8vNN0qec6B9/awnVjdtzYv0Nd29ZFv1iNWMRd9mMefQaAbt343BUddMqua4Po0ACcA0flwdSaCtwTJl37Ba9lmy8KOWvZwcq9BfW7EaavfB8m3VI1YzzaRLEwsl7xlT2n4usaws/QiN3bZiNdRuLs24+8bqJmTfxdw2YmMN7esjsf/ESP1Vd0vWppvc8Wyx/1ktNkZB+8zP0sYZi2cBCxuaOWYtukz1Y5Q1Ezo+Ur5dAiQA2+XJ3ZQE2pronjt3Luo03NJOdYo9ZcvKD+2JbintYWHDnbIV+msrVkPt5kpmxLaRq4/2VN/YeLawYaUZ7Ylusaws/QiN3do04/yP1Y1WM5zmmL9/KVkzNSYAa9CMhS4tbMSOMxZjcmOD+VnaOFPLnMPiWaAWG6OsmdB5JeXbJUACsF2e3E1JoK0HxJQ3zM2bk/4DEdbX12V6erp32m+zySo2Dohj5eOUukrGyoYyRO8VaytWQ+3mSgDGxrOrT7O6xRcLJdvoX6GTy48abYTEb22aGZW+LVc8o3199LMC8DNWseOAdpypRZcWfsS2hbX29Uq7W7K2sSa2nWqbc/jGMgvNjIqNUdVMaL0p3y4BEoDt8uRuSgJtDdqx+2WE7J2AjadEe+x8Laz6w7itWFVKY2CxtuoR20auYlrdlGxD64PzN9aPcbRRs2ZqiYXYeEb7+t47RPu5XvLoa7t7ya7HmhCGsTE9bjZiOZWmfTSzu2bHLZ5rGZOt/ChxfpY6TnF9GgESgGn8uDqSQFsTTPeW6LXXXpPr16/vqMmg057ciUvPP/+8uM8uND9sjB+rEgdLC80cPny490n9hx9+uEMaIboZphkLG2j//uaz6MNq1ozzzYJhbhtd63LUtP8f/v2/k7kb/0lOyG9lRtZlTablinxZ/nrqCfmvn04k9ZG7zT3a6uM185phZdqqR+54rkWXFn7Uov3aE4BoZvyeNyzavMT5Weo4xfVpBEgApvHj6kgCbU4wX331Vblx48aOmuzdu1c+/fTTHf/uHkJeeOGFoAQgNvTJ0hpYlThYWmjm0KFDvQTgRx99lKQbN6EZFAcWNtD+zgRgbl3WrJnmAT03w2G6aSOmu9blSGl/Y1VWf7IgX9y8uqMvXJk4LK9tPyebE1P3/S10bjEOyYxR1wza18+XLfoXNMMzTRMDucfLWrRfqmYi0wdc1hIBEoAtgeQ2YQTaSmbEftbAcnl9e40jq5qTGbGacUy0sVCyDa0Pzt9YP8bRRs2aqSUWYuN5HLW//OqLMrf8s4ED5VvyDVmceGLH30O0X+qDGfOz+1smVjchsZDbRuz9S9M+mtm9Syop1moZL2vyo8T5mf4plJI5CJAAzEGVe3oJaCeY/RvBrq2tyczMTNYDOrCxs+l225B7N07uytQNjH3tbWWjxMGya804JtpYiI0DCxuDNstG+2nar1kzVv1OrG5q0KW59jdW5fobL8vBq2/Kw1u35OPJA7J67Bk58twPZd/+g7J2bk5mtlYHzmXuyIQsyhOyJF+9byVgSP8y6skM33idO55r0aWFH7FtYaHLEBtoZvcuKaTfiY0FSxu+vsVCMzXZKHFGGnRjAAAgAElEQVR+5k0UUCArARKAWfFy80EENMkMNwBcvHhRVlZWdtxmdnZWTp06JefPn+99shj6m5ycFHd8Ojb85ByrM2fOeNvC7al47ty56PYoyUaJg2XXmnFMtLEQq0sLG2jfr/mmhLa9H9xPVROr+lrEl9TUQzMG1NK3laxLU+1vrMqtCwvyhds7P++9ue+YHDi9KHt/dFwmxT+3+EAOyUX51r0kYEj/UrtuYuMtpN+pZc6R24/YtrDQZYgNNLP7eBjS78TGgpWNkp4FcuvSam5R4jNN/MyOK9sgQAKwDYrcI5iA5sHM98mCW/J+5coVuXXrVrD95k0WNvzoHKsTJ07IpUuXBhZuPj9IebNYko0SB8uuNeOYaGMhVpcWNtC+X/NNCW17P3hKuCZW9bWIL6mph2YMcP7V0LeVrEtL7fs+733/+J/I5/7uzaErAPujsv9z4JD+pXbdxMZbSL9Tgy4t+pfYtrDQZYgNNLP7eBjS78TGgpWNkp4FaulfSnymiZ/ZcWUbBEgAtkGRewQTGPZg1iz9XlxclK2trYH3dm+jjh07JsvLy8H2T548KXv27JFRtzE3N9dLgPqSoCmsnI2rV68ObYtmAucmCDHtobHhfFhYWJA7d+7I5cuXg9s8xMb8/Py9Q2I0SYTgykRc0LVmXJW1DGN1aWED7euDT9Pe/Q9vjW5q04xVv5O7bytZl5ba/8dv/Qs5KGsDheA+77350KNy+JP3VGJZlRm5MPHdXtmQ/sXF1SiNNf2f5THn8IeGpv+0mtfUov1R04yLklqeaXje8Gu+KVGS9kvVjJ4mJXMQIAGYgyr39BIY9IA47HOsQTedmpqSzc1Nr82mwJEjR3qfqe52cvAo2Qj12/kWek1oeQsbFu3XfGLulueXnsyw0IxFu1rYsIgdCxsl6tK1X6ObmzdvyiOPPNLrTq9duyZHjx5V989tFmxznLFoVwsbpcZOaL1Cy/ezPbv9Y9XnvbdlSvaJf25xRyblBxPfk5j2G5WxJmacsejTLWzEtGtKfGr7wFAboeUt2MbYGBXNNMm/QVsZ8bxxP4ES47MW7ZeoGW0/R7k8BEgA5uHKXT0EBj2Y+T7HGnTb0t62sJLDv2owZVViyCqL2DffzWfNpScAUzTD6lFdV11S/xIbz85TrR8pNpxuHn300aITgLGaseh3LGyM+0qO09s/HboCsL9XuP7QH8oXP3lP9gzZD9CtAPybp/8yenX6KIw1sZqx6ndy920WurSwUYv2R0EzLvZjdaONZ4vV6SnzAa0fJduw0KWFjdI0o5t9UyoXARKAuchy36EEBiVVatlvIbcfsXt4uEbR7q9Tsg2rvUheeuml4lcApsSa8883QU3da5P9XHSDQQ26bPqXZ599tugEYOmasdClhY1Stb+wvSRPy5JKmGuTB3unA88t/2xgebdn4PHnX0naJ7L0sSZWM8w5VGHWK2Q5r6lh3C9dM65NY3WjnQ+wf2T+Z5qadFmSZvQ9IyVzECABmIMq9/QSGJQArOXEpdx+xJ7i5RpGe8JeyTasTiNzJ0WXvgIwJdYsTsLmRDdvd9grUIMuGz++853vFJ0ALF0zFrq0sFGq9qe2N+WU/FyOyodecbrPe+/82d96Tw3et/+gpMZVyWNNrG+19G2Wcw7NyeSx8zMrPyy0X/v8zIKhxkZsrKF97/Byr4CVLkvSjJ4OJXMQIAGYgyr39BLIsQLQvdno36R6fX1dpqeneyfY9m+0nfJGrhQbsT70v2X2sSrZRvNGzvmTy4/GRskPZalvmF08WzD0tVEbfoyLjZJ12fQvta8AtNBMLTZK1aVLAs7LO7IgS0M/73UrAGe+vyy3N1Zl5Rcv904H3r+1JhuTM/L7Lz0js8/+UFzyr40+rOSxZhT6Hc38LNYPyzkH2vc+QtxbLVmyZtroE0roP2M1w/OGP46bEpb9Syma0dOhZA4CJABzUOWeXgJt7wHY7G3gNZywJ0dJNnyfbwzjoPWjZBtaHxwH58fbb/2VzMtfywn5rczIuqzJtFyRL8uSfFU2J6Z2xVXafhloZveoDo2FS5cuabqJ+8qUZKNkXTpoNe8BWFIcNH3bqMdz1374PgduPu/VdBqx2hyFsSbWt6ZPcJ8q+n4l20D7vtb77O+WrEpJZtQ8PytZlxb9S2g8pzxvaFQW2x6ljTMaXymTjwAJwHxsufMQAoMGy42NDblw4ULQqb7u5KjTp0/L/v37VcxrsDHMB8dja2urtyH5g78QVl3bGNSYIT64e2z8/qas/cWCzG7f2HHLD+SQXJRv7UgC9tsofYJZQzz32gntq/qwrnWp6V/c4TIlnwJMrI3XeDmsfxn2OfDKxGGZ+dNF2f+5L5jMLUoea0ah39HMAdF+XdovWTO1zGvQfoBmEp83NANNah9WimY0vlImHwESgPnYcueIBGDqmw0N9BpsxPpg8bbMwkbIG7nlV18cuoH7W/INWZx4YkfolPa2rOY3zA5+bEyHxEINNmJ9sNBlY6PWU4DHLdbGRZfN58An5DcyLR/LujwsV+QrsiSPy5NP/5FoVq+1waqUB7Pd6jEK/Y6mnWL9QPua2fXdMpasStZMG32ChnrumI69f0gslGwjJJ5Tnzcs2rsUzWh8pUw+AiQA87HlzhEJwNi9Jpr9E/r3y1hbW5OZmZmsewB2ZSOWk2sSLauSbdy3X8bGqlx/42U5ePVNeXjrlnw8eaB3auOR5+7uzbR2bk5mtlYHRuMdmZBFeWLH58DjugfgbjEdGwvaWHONg40D8uAeVm22haX2x20PwDbbadBeQKNqY1zG5Db6sFIezHarR2z/bNnv5Ow/a9OlaxefNmPb3HLcL1kzbfQJvjaysBEbB1VqP/PzhoUuS9EMSZJuCZAA7Jb/2FrnFODdm76mk0Bzni5278SsjVXv6Yx7f3RcJmXbq7UHPwdubJQyWObQzDifBOoNiL4CWl3u27cv6STQnJpx7mj9SD31j1OAT0ksQ8vTAHOfNqqJZwvNjIKNkk5n3G2s4RTgSbEYL2uxYaH90jXjxtxY3WjHaou+LXYss5xzaOIt1g/L543cY3JJmgmZg1O2fQIkANtnyh0VBHKcAuxO+x22IXqzjDv2bZZ7q1mKjStXrojbZyvmp/WjZBvNG2bfcnu3gbs7tXHYCsB+hv2fA4/LCkDfpxdON7GxoI019+lWDbq08CO2LZq38Zo+LNVG7SsAc2vGrWSqwYYm1iw0Mwo2XJuX/LIptn+27Hc08RbbtzXzgRp0adG/aNoiVZelayZ1dZ4FQ42NWM3Upn2L5w2L/qWUcSbm+ZVr2iNAArA9ltwpgEDb+5nNzc3J1atXe4dfDPq5tzgLCwu9wzEuX74cUNu7RUuycezYMVleXg72IcSPkm2cPHlS9uzZI//4rX8hB2VtIAf3ee/Nhx6Vw5+8p2K1KjNyYeK7vbK17wHo4tklkX2JZKeb2FjQaKaZJLoHrJiY1thA+2F9WGx7N7qpdQ/Apt9ZXFz0jjWxDC1soH3VcGA27o/CWON7MB1GVNtHx2rGYl5joUsLG7VofxQ04+IyVjdazVg805SsS0vt53zesNB+aZrRj8KUzEGABGAOqtzTS2BQAnDY8udBN3WnUm5ubnptNgWOHDki29vbcuPGzlNhR8lGqN/Ot9BrQstb2Ohvv7PbP1Z93ntbpmSf+GPkjkzKDya+J7Ozs3Lq1Clxn1eU8rasS81YtKuFDbTv10DTB8Zov9HNzZs3iz4FOGacIXbyxk5ovIWWL7X9RmWsidGMRZ9uYaPU2AnVQGh5C7YxNkZFM863GN2EtpNFfIbWKaZdS7Rh8bxh0X4lakb90E7BLARIAGbByk19BIYlVZpNb0d9lYXFG51a3ubGvu08vf3ToSsA++Pw+kN/KF/85D3ZM2Q/QLcC8G+e/kuZn5/vJf/cr/QEYDPJXFpakpyasXjTamHDQpcWNkrTvvuUqNFNbZqxWGVhYYOVHHdXjufsJ0O079p8lMaa/gMJWDnum+Xy1Yif0GclQuaAo6QZq/lZSL8TOw6UNuew/mok1/OGxVdpJWompH+gbPsESAC2z5Q7KghoHhB9S+dT9yaz2AelFhuafUJS93OJsbGwvSRPy5Ii4kTWJg/2TgeeW/7ZwPJuz8Djz79y3981saqqQGIhTT1yasZVX7unX8l7xrCXkz4Qte3ttN//08SqvhbxJTX10Gimi74txGttO5WsS4v+pTTt166b2HjTxnMturTwI7YtLHQZYgPN7D4ylNa3xcZbydrP9bwRu79qCKsS52chcxzKtk+ABGD7TLmjgoDmwcziNCRs+BurpNPIHjzxbGp7U07Jz+WofOh1xH3ee+fP/tZ7avC+/QdHNpmRM54dFG0sxJ62ZmGjplNWLU6M1Jyu16yWbYSj6d+9gm2hgKYeGs1YnLRoYaNkXY6j9mvXTWy8accZC83UYiO2LSx0GWIDzew+MNY0r9HOOaxPWM71vGHhBwnAFiaUld2CBGBlDToq7mgezJwv/Z+crK+vy/T0dO8k3mY5c8qbE7c6Dxv+iGneLPrawt0ptT1ibLhBeV7ekQVZGvp5r1sBOPP9Zbm9sSorv3i5dzrw/q012Zickd9/6RmZffaH8mDyz/mkjVU/ybQS2nr4GMa2kau9NhZKttH4gPb98aht7wfvpI1Vfw3SSmjr4dNMV32b1nttO5WsS4v+pTTt166b2HjTxnMturTwI7YtLHQZYgPN7D4qlNa3xcZb6drP8bxhwYoEoHY2NT7lSACOT1sX5an2wcxXad/nW4Oub05D8t3f/R0bT8mDn10M4tYlK9/y/N0+79W0f1uxqrE1rExb9YhtI1c3rW5KtqH1Ae3r23vUH8o02oyN6ZLiLdYHtK+JkLtlQtq7dt3ExlsIQ2zo5mexnEJi2sIGmtm9L0IzefroQTHd5vNGrG5C2pwEoD4+xqUkCcBxaenC/GwrmeFWbrz22mty/fr1HR4OOlHKnbj0/PPP3zvkwYcGG6PByr2Ze37iDZnd3nm680dTx+TgS4u7rvDztX9bseqz4/t7W/UYFs+HDx/unZD94Yc7P6kO0U3XNtD+/dHk2uM//Pt/J3M3/pOckN/KjKzLmkzLFfmy/PXUE/JfP53YEX4h7V37Q5nzr4ZxoGtdWvQvo6T92nVTg2bQvn6+bNG/oJmdp7GHjtXoMv2Zps3nDYv2IAHoe8Iav7+TABy/Ni/C4zaTGa+++qrcuLEz6bN371759NNPd/jrHkJeeOGFoAQgNu6eiOv7uYGsS1b/YM+WfO3TX8kJ+Y1My8eyLg/LFfmKvH/oj+Wf/8t/pW7zEgdLC80cOnSolwD86KOPknQzLA4sbKD9BxKAG6uy+pMF+eLm1R3tujJxWF7bfk42J6bu+1toP1mzZpokQJd9Wxsx3bUu0f7wEbStPt43Tvv+3lY9up4PtKEZtK+fL1v0L+OQABz1caYWzfj8aOt5w6KfLHF+5huH+HteAiQA8/Ll7gMItDXBtFg6jQ3dJyauqWthVeJg2bVmHBPtJwexcWBhQ+tDTfG8/OqLQ0+/fku+IYsTT+zorUNY1ayZWmKhZF2Oo/ZrT2bExltIv4MN3fwslpOFLkNsoJndH6rQjP5xexxZlTg/07cYJXMQIAGYgyr39BJoK5mRunlq84ZnaWlJ3LH1a2trMjMzk/WgkVG10b9R/m4+OJap7WFhwxucDxRoK1ZD7eaa6Ma2kavPbhs0txnPFjYGbZbdph/mNjZW5fobL8vBq2/Kw1u35OPJA7J67Bk58tzdg23Wzs3JzNbqwBC8IxOyKE/Iknz1vpWA/X6ExG9tmhmVvs3Xf6L9A7Lb4V+5tB+iGVe2Nt3Expt2nKlFlxZ+xLaFxZjcbwPN/ERu3boViuHe3KyWZxrfWGahmVGxERospYwzofWmfLsESAC2y5O7KQm01QGlHJ9+9uzZ3r5OFy9elJWVlR01n52dlVOnTsn58+d7n0WG/iYnJ6UWG2fOnPFy2rdvn6S0h4UN1x6hv7ZiNdRurgRgbBu5+riY1rRTrGYsbNSky17/srEqty4syBdu7/y89+a+Y3Lg9KLs/dFxmRR/H/aBHJKL8q17ScCGVWjs1qYZ53+sbrSaseg/S9ZlbdoP1UyNCcAaNGOhSwsbo6B95mdp4wzPG7pet6QxOVX7o6wZXWtRKhcBEoC5yHLfoQTaekCMfavZvGH2fRbhloq7lYEpb+RqsHHixAm5dOnSwDZtltSntIeFjWb1R4g824rVEJu7lW2rHrFt5OrkdKNpp1jNWNioTfu+z3vd6def+7s3h64A7I+3/s+BWQH4GZlY3Wg1405az22jZF3Wpv2Y/r6tPj7Gdv81bdUjdzxbaKYWG6OgfeZn6V/R8Lzh7/1KGpNT+5dR1oy/pSiRkwAJwJx0ufdAAm1NMH2D3aAKnDx5Uvbs2SOLi4uytbU1sJ7uTdGxY8dkeXk5uDUtbMzNzfWSk74EZYofzsbVq1eHcmoe3tzAGsNKY8P5sLCwIHfu3JHLly8Ht0fIvh85HoaCK/zABV1rxlVH206xmrGwYaFLCxuN9k+t/m9yUNYGhpf7vPfmQ4/K4U/eU4XgqszIhYnv9sqimc+QxY41Ws2k9G1aGyXrshbtx2rG+d9WH68S+pBCbdUjp2ZGYc6h1SXaZ6xp5BirGcs5B88b/h7WQvuxY01b/bufAiVKJkACsOTWqbhubXVAwz7hHYTvyJEjvU96dzs5eNA1U1NTsrm5qW4RCxuhdXKVD70mtLyFjRi2zefcbrl96K+tWA21+2D5tuoRoxmLdrWwERM7oRqwsNFfp7PbP1Z93ntbpmSf+PuwOzIpP5j4nqCZ+xUYo5vSY0fbJ4X6EVq+Fu2naKbGBKCFZmqJHetxoyTtp+imrXmRlsegcm3VI0Yz4xw7oWNNaHkLtjE2atBMqua4Po0ACcA0flwdSaCtwdKZbzaL1azms3jTamGDlRz6FZyuPebn5yUm+VfjQ1m/ZjSfBbF6VL/ysQvtn97+6dAVgP1d9PWH/lC++Ml7smfIfoBuBeDfPP2XaGaXsS1krInto1nJoZ9UWKyyCLGRMs7UPtZo5mexmnHstO0Ua8NClxY2SvtqxG0pkqKbNp8l9D3PzpJt1iNknOlizhHCKbcux1H7tTzThMQRZdsnQAKwfabcUUGgzcGyMedbOj8q+9SN+h5rrj20e2xoElC7hVPIPm5uj42UX45YjalPrnpodJPSTpp4Tt0HZZxsPNgWC9tL8rQsqUJqbfJg73TgueWfDSzv9gw8/vwrqvsNKpQrVkMrlaseuTXj9vWpwcY46TJ1nKk1ARgyP4sdZ0qbc8T6ETKvKd2GVvuhffqD5XP18aH1ylEPzRhgMXeKjTULXVrYKE2XqWNNjlgN1QvluydAArD7NhjLGuTogDQn+qaeuKQ5AdXCxiic6KZhFetHyEmusSv/GmHmiNUY0eeqh0Y3Ke2kiQMLzdRi48G2mNrelFPyczkqH3rDyn3ee+fP/tZ7avC+/Qe99xpWIFeshlYqVz1ya4bTHHUtXdppjrpaDy6VK15D65WjHjk14/zTxkLKWFaLLi380I77obE5TglAjWYs5jWxmrHQpYWNkOeNWFYhNmp5pknVPtenESABmMaPqyMJ5Jhguqo0S+fdG6v19XWZnp7unVra/4lBysl0bmVGCTZifWjelmn8KNlG/+mkmvaIDNPeZbliNbROOevhYxgbC007+e7vWGDjgMTq0iUB5+UdWZCloZ/3uhWAM99fltsbq7Lyi5d7pwPv31qTjckZ+f2XnpHZZ38oqck/NHN3u4HUeNaMZ6NgY5y0H9qnj1MyI2c8W8xrQuYco6DLnO0RMu6jmeEESug/Y+PZQpcWNkrTfi2aSfWD69MIkABM48fVkQRyJjN8VfItqx90fciJS7ltxN7f+ab1o2QbWh98saD5e5ex2l+/LusRGwsh7YSNp0TzaccwTr7Pgdv4vBfNaAiI9xPeURhnXB3RpU6XuqgYXqrLPr6EsSY21izmNeM6lr391l/JvPy1nJDfyoysy5pMyxX5sizJV2VzYmrXgA5hlaqbcdeMRR9dsi7HUfu1aCbVD65PI0ACMI0fV0cS6HLQ3tjYkAsXLgSd6utOjjp9+rTs379f5XFuG8Pu7+q6tbUld+7c2VHXED+6tjEIdIgPqsbyFOoyVkt4KHN1yB3P2ND3L8Pa4g/2bss/23xdjsqNHVG9MnFYZv50UfZ/7gttyGLoPdAMmilpvLTqX1KFNe66qWXOUc14+fubsvYXCzK7vXM8+UAOyUX51o4kIPMzkWvXrsnRo0dTuwP19bnjrWtdWjzTtPW8kbst1EExpGAp40wbvnCPeAIkAOPZcWUCgS47oNi3WSFvNXPbiL2/xdsyCxshbZEQpr1Lu4zVUhKAsfEW0k7Y0K008nFqPgc+Ib+RaflY1uVhuSJfkSV5XJ58+o9UqwzRTCoBVs6No/ZTo2bcxxpf3zaMrzbeYm1o7+/qWIuN5VdfHHpg1FvyDVmceGJHs4SwQjOpBPLHW2w8WzwLWNgIiedYViE2UiOmlHEm1Q+uTyNAAjCNH1dHEuiyA4rdz2K3fU3W1tZkZmYm6z6Du9mI9cE1l9aPkm3078kRGYLqy7qM1VISgLGxoI015yc2du4BmEv76uCPLIhm0uPZoe/f/6nNWBi0p1EOGz4fRkX7kVIIumzcdRM7BljMayw1Y6b9jVW5/sbLcvDqm/Lw1i35ePJA75T4I8/d3Qt27dyczGytDozhOzIhi/LEjs+BmZ/ZrgCM1Y12fhZ7fwtdWtiw1n7QoBFRuJRxJqLqXNIiARKALcLkVnoCXXZA586dk+3tbX1l/76k9pQ5TuWyO5EvuBEjLugyVktJANagGQtdWtiIPWXOxVJz0lyEDIIuQTMiKZqxOKXTwob2JNAUVhY2HCuL37jrJjYOmr5NEwux/WfIKZ0jYWNj1Xsa/N4fHZdJ8c+VH/wc2Gqcce0+7ppxDGJ1o32miY1nC11a2LDU/jiNMxa+YmMwARKAREcnBLoctGPfZrm3QO5E4UuXLg1k1izjzm3DnXJ869atqLbT+lGyDd4wj84b5lI04w7YyK1LCxupunQnDef+ddm/l5I0T4k110a+T4ncWBMbC03/mdtGLdq30AzJjPhVs45d7nmNlWastO/7vNcdGOVOiR+2ArC/r+3/HJj5WV3zs9hxxkKXFjYstZ97blbSOGPhKzZIABIDhRHo8gHR99AzCJXmgUs7UKTa8D1YDWturR8l2xjH/TLQzO5RrY1nzYNVqi4tbKTqUnPScOpw0WWslpIATBlnNIlkTcJjWDxb2PA9OFqNl6m6tNBMSQ9mXek3VjOOnXYciO0/tS93R0GXLp59n/euTR7sfQ48t/wz1XCwKjNyYeK7vbLMz2wTgLG6ya0ZC11a2LDUvkpsiYW66t8Tq83lLRNgBWDLQLmdjkCXHZDbk+jixYuysrKiq6yIHDlyRB599FG5fPmy9xo3WDz++OPy+uuvZ7Nx8uRJee+99+TGjZ2nsw2rYIgfpdqYnZ2VU6dOifvc0uLXZayWkszIrRn30PTYY48Fx3RIPFvo0sJGrC4tdYNm7u7fFzrOuDb69re/Le+8887QleZNvxATC41m3n33XdUq8hQbmvGyZO1baoYEYJxmHLeQcSAmni10aWGjX/t/uvo/D/281334u/zIc/IHN/5v+eKnH3inWndkUn4w8T1BM/anAMeMNbk1Y6FLCxsWuhxXzXg7FQpkJUACMCtebj6IQNcPiM3G5IuLi7K1tTWwodzeD08++WRwYqJ/0MhlI+RBLtaPxsbbb789lJMDmPog57PhfFhYWJD5+Xmz5B8PZZ9JI7dm+idzmlgoVZclat9aN133703Udl2PEM24Nkp5cZRLMxa6tLARqktrzTDW3FWtVjOWc47cuuxC+6e3fyoHZc37kHJz6hH5L4eekGPX3pA9Q/YDdCsA/+bpv2R+JvYJwBDdpD4LaF4cpdrwjWW1aX9cn2m8nQ8FshIgAZgVLzcvNQHY1Mu3dN6t6HG/Yfv+DfKxWTZegw0fA62vw1hpbVirquskQinJDAvNOBsazWnKjIMu3adcmv7F6hPG0mK1FO1q28hXLrX/9PWxw/pWjeY0Zbq0oR2nLD9h7OdRSryWUA+fFrRtmaoZTR87CjYe1P7C9pI8LUuq6ZTbD3BiW4Z+DuzKHH/+FdX92ixUQqw6f0qph0Y3seOAVnMp44DmWm09RkGX1nOzkmK1zX6Ae4UTIAEYzowrWiBQymA5bOl8syz7lVdeUX0q9SCWZn+jGmy8+OKLAz9n61++nrLxvdZGC+EXdItSYrWUeuSMZ9cwTjeaWECXB8TtbaZpD6vP5UkA7t61aNsod/8ZqxkLXVrYCBmTrTVT0oNZCWNNKZpxcZBblxY2HtT+1PamnJKfy1H50DsfcvsB/oP/6f/1nhq8b/9B773aLlBCrJakXY1uYseBkP4zxYZm/mehGSsbbWvCd79SNOOrJ3/PS4AEYF6+3H0AgZI6oOaTE7dh+fr6ukxPT/dO+22WZZ87d062t92OKGG/5uh4d1UNNnw+OD9TWWlshLVCeulSYrWUeuSMZ3fvRje+WEiNtZx+lKb9dBWE3aGUWC2lHppYs+g/YzVjoUsLGyG6DIv4dkqXEq+l1MM3BlhophYbu2nfJQHn5R15Sv4vmRgSwm5/vz1/viq3N1Zl5Rcv904H3r+1JhuTM/L7Lz0js8/+ULpI/pWUeCtFM5qxJnYcCOk/U22Mk/bbGT30dykpVvW1pmTbBEgAtk2U+6kIjFIHlPL2163Q0fywcXc1U4m/UmK1lHpo2ig2nt29m7fMPjuxNrT3d/ZrseFj2fbfS4nVUuqh5Zs73mLvb6FLCxsh2te2WZvlSonXUuqhYRsb0yGxUIONYT749gN0KwBnvkTz38EAACAASURBVL+saQ7zMqXEain10DRADfHM/EzT0ruXGaVYjfeSK30ESAD6CPH3LARGqQPy7akxCFDIPkLYeEq62AtDE9ylxGop9dAwi41nd2+tbmJtaO/v6lKLDU2btVmmlFgtpR5atrnjLfb+Frq0sBGifW2btVmulHgtpR4atrExHRILNdgY5oNvP8Cu9vfTtH8psVpKPTTMaohn5mealiYBGE+p/itJANbfxkV6OEqD5cbGhly4cEE2NzfVLKempuT06dOyf/9+1TXY0LNSAW2xUCmxWko9NGiHxbPThjt5+86dOztuFaIbNINmfLE4SppxvuSO6a51OUra98VWjr+XEq+l1EPDOLdmLHRpYWMYpz/Yuy3/bPN1OSo3diBfmTgsM3+6KPs/9wVNc5iXKSVWS6mHpgHQjH7uZMFK02ZtlhmlWG3Tb+51PwESgEREJwRGqQPibZl+dZ4FK+uALSVWS6mHhn9sHLh7a1dmxNrQ3t/VpRYbmjZrs0wpsVpKPbRsc8db7P0tdGlhI0T72jZrs1wp8VpKPTRsY2M6JBZqsOHzodkP8IT8RqblY1mXh+WKfEWW5HF58uk/4gsNTzCimfsB+eJtEM5x06Wmj2u7zCjFatu+c7/PCJAAJBo6ITBKHVAb+2X0b2i7trYmMzMz9x00Mgo2fD64QGrDj04CcojRUmK1lHpo2ic2Dty9+0+aW1paEnc4z6hqxvnj000sq5A9rDRt1maZUmK1lHpo2abGQq5Ys9ClhY2SNeP8LyVeS6mHRje5NdPGvManSwsbsZz6dalpD+sypcRqKfXQ8I+Nhf7+0xfTqTZ897fQTBs2NO1hXWaUYtWazTjZIwE4Tq1dkK+j1AG1cZrVxYsXZWVlZUcLzM7OyqlTp+T8+fNJJw27wTKnjTNnznjvv2/fvuRTgAsK0XtVKSVWS6mHpo1iNePu7U6a08Rb6Zo5e/ZsL/mXU5fORom/UmK1lHpo2yhWN7k1Y6FLCxv9p1hq28SyXCnxWko9NOxzayZ1XqMZyyxsxI6XjS4Za4ZH47hoxmJeU4pmUnWJZjQ9OGW6IkACsCvyY253lAbL1DdZvqXwbsm7W+V069at4Kho3sjltnHixAm5dOnSwPo1y/ZTWQUDMLiglFgtpR4a5LFx4O7tYloTb6Vrxp1qnVuXnJxdz0OZ8yRWN7k1Y6FLCxusANT03uWsRNTUNrdm3OFkNdiIHS8bXTLW1DPWpMSzxbxGM/8bBV2iGU0PTpmuCJAA7Ir8mNsdpWSG7yF+UFOePHlS9uzZI4uLi71DDwb93KqEY8eOyfLycnBUzM3N9RKHvuRhqo2rV68O9aGZJLoHrBg/Qvb9CIaUeEEpsVpKPTQ4YzXj7u1i2hdvKfFsoUsLG2jGH4mjpBnnTaxucmvGQpcWNkrWjPO/lHgtpR5+hefXzMLCQu/AqsuXL2uqc18ZrS4tbMTOMZ1DJeumlFgtpR6aIE0ZZ2p43rDQJZrRRCJluiRAArBL+mNse5QGy2Gf8Q1qwiNHjvQ+6b1xY+epaoOucSckhp40HFLe2S3RRvMZtFtuX+KvlFgtpR6aNorRjEV8WujSwgaa0URhOQkVXW3v7hc56JNxxo37CYSOZaVrhgSgViX3l7PQjEWfbmEjVDOOdOm6KWVeVEo9NCqy0IzFfM7CRowu0YwmCinTNQESgF23wJjaH6XB0jVRsyGtZjVf6W9ztW+/Ut4Ya204VvPz81Jq8o+HsvgOSqsZZ8GtHI1dPRoSazWs5EAz+pgctXEmdKyJ7aNrWTkeov3SxxnGGr2uHyypHWtYOX53hb12FRdjjT4mR22ssdCMo6fto2PHMgsbIV90oBm9ZijZLQESgN3yH1vrozZYNg3lWzrfxl54mv0vUvdzKcWG28ej9F8psVpKPULbqxTNjMKeMRpdohl9BI6qZpyHGt3EjgM17R1bi2ZIAOp1PahkDZqx2GNNa4OxRh+TozrW5NRM83JX00fHjmUWNkLGSzSj1wwluyVAArBb/mNrfVQHS82pnqknR2lOwEo90a0UGyWv/GvEWUqsllKP0E6rFM1Y6NLKRmgbWJcvJVZLqUcMf41uYseB5jTc3DY04wya+Sw6SonXUuoRqpvc8WxxAmpJNpif6SMQzezOqoYT6kPGSzSj1wwluyVAArBb/mNrfVQHS9dgzdJ598ZqfX1dpqene6eW9n9ilHrKls9G7P2bt2XuDXAJNkZBAKXEain1iGkzX6y5e8bGdPN2dpxsxLSB5TWlxGop9Yhl74vpVM1oxrNUGz4frLQf2waW15USr6XUI4a9L95S49lCM6XYiOFvfU0psVpKPWL459JMac8bFtqP4W99zSjHqjWrmu2RAKy5dQv2zZ0Ue/z48V4Nf/WrX8nhw4cLrm141ZaWlsT9F/pzSUT3n+8Xe39335Js+Pws4e/uIJevf/3rvaq8//77vT1Nuvihmd2pa+PZXR2rm9JsdBF/ITbRTAit+LK1xLOFH/GU7a5EN/lZW8RaLTbyt0a6BTSTztB3h9h4Lu15I9aPkPmfj2UJfy9FMyWwGOc6kAAc59bv0Pdf//rX95IqHVYD0xAIIuCS1V/72teCrmmrMJppiyT3sSSAZixpY6sWAuimlpbEDysCaMaKNHZqIdClZmphOKp+kAAc1ZYb8XqTzBjxBhzT6nc5WKKZMQ26EXcbzYx4A1L9Tgigm06wY3SECaCZEW48qt4JgS4104nDGL1HgAQgwdAJgU8++UTefffdnu3Pf/7zsnfv3k7qgVEI+Ah8+umn8rvf/a5X7LHHHpOHHnrId0mWv6OZLFi5aQYCaCYDVG5ZPQF0U30T42DLBNBMy0C5XfUEStFM9aALd5AEYOENRPUgAAEIQAACEIAABCAAAQhAAAIQgAAEIJBCgARgCj2uhQAEIAABCEAAAhCAAAQgAAEIQAACEIBA4QRIABbeQFQPAhCAAAQgAAEIQAACEIAABCAAAQhAAAIpBEgAptDjWghAAAIQgAAEIAABCEAAAhCAAAQgAAEIFE6ABGDhDUT1IAABCEAAAhCAAAQgAAEIQAACEIAABCCQQoAEYAo9roUABCAAAQhAAAIQgAAEIAABCEAAAhCAQOEESAAW3kBUDwIQgAAEIAABCEAAAhCAAAQgAAEIQAACKQRIAKbQ41oIQAACEIAABCAAAQhAAAIQgAAEIAABCBROgARg4Q1E9SAAAQhAAAIQgAAEIAABCEAAAhCAAAQgkEKABGAKPa6FAAQgAAEIQAACEIAABCAAAQhAAAIQgEDhBEgAFt5AVA8CEIAABCAAAQhAAAIQgAAEIAABCEAAAikESACm0ONaCEAAAhCAAAQgAAEIQAACEIAABCAAAQgUToAEYOENRPUgAAEIQAACEIAABCAAAQhAAAIQgAAEIJBCgARgCj2uhQAEIAABCEAAAhCAAAQgAAEIQAACEIBA4QRIABbeQLVW75NPPpF33323597nP/952bt3b62u4teIE/j000/ld7/7Xc+Lxx57TB566KFOPEIznWDHaAQBNBMBjUvGngC6GfsQAEAgATQTCIziY0+gFM2MfUN0DIAEYMcNMK7mf/3rX8vXv/71cXUfv0eUwK9+9Sv52te+1knt0Uwn2DGaSADNJALk8rEkgG7GstlxOoEAmkmAx6VjSaBLzYwl8IKcJgFYUGOMU1VIZoxTa9fja5eDJZqpJ47GyRM0M06tja9tEUA3bZHkPuNCAM2MS0vjZ1sEutRMWz5wnzgCJADjuHFVIoHl5WU5fvx47y6uAzp8+HDiHfNdfvv2bXnjjTfkww8/3GFkampKNjc3d/z7oUOH5LnnnpN9+/apKoYNPSsV0BYL3bhx495q1ffff1/m5uZavLv+VrVoxmlje3tbPvrooyTdoBk041PPKGnG+ZI7pofd30KXFjbaGpN9sZXj74w14VRza8ZClxY2LLQf3nrpV6CZcIZoRj93uv1fbsn6//6c/MPNlR2gb8gX5A35Y9mU+7ewCn3+C2/BtCtK0UyaF1ydSoAEYCpBro8i8MEHH8gjjzzSu/batWty9OjRqPtYXPTLX/5SLl26FGzqqaeekm9+85uq67ChZ6UC2mKhUmK1lHpo0MbGs7u3VjexNrT3d3WpxYamzdosU0qsllIPLdvc8RZ7fwtdWtgI0b62zdosV0q8llIPDdvYmA6JhRpsxPoQoktNe7VdppRYLaUeGr6xsTBumnEsl199UeaWfzYQ61vyDVmceGLH30NYadqszTKjFKtt+s297idAApCI6ITAKHVAP/nJT+TWrVvBnA4cOCAvvfSS6jps6FmpgLZYqJRYLaUeGrSx8ezurdVNrA3t/V1darGhabM2y5QSq6XUQ8s2d7zF3t9ClxY2QrSvbbM2y5USr6XUQ8M2NqZDYqEGG7E+hOhS015tlyklVkuph4ZvbCyMm2Ycy7VzczKztToQ66rMyIWJ7+74ewgrTZu1WWaUYrVNv7kXCUBioAACJXVAbjn80tKSXLlyRdbW1mRmZkZOnDgh8/PzvU94z5071/tkMfQ3OTkpZ8+e7V1Wgw2fD87PVFYaG6HtkFq+lFgtpR4549ndu9GNLxZSYy2nH6VpP1UDodeXEqul1EMTaxb9Z6xmLHRpYSNEl6Ex30b5UuK1lHr4xgALzdRiw0L7bWgg9B6lxGop9dCMNbGxENJ/ptow0f7Gqlx/42U5ePVNeXjrlnw8eUBWjz0jR577oezbf7AXilt/fkAmZfDzn/vLJZmXJfmqbE5M3Qtf7Tw2NN7bKF9SrLbhD/eII8AKwDhuXJVIoJQOyA0yFy9elJWVnfs7zM7OyqlTp+SVV15JWgFYg40XX3zRy8klS1PeLGptJIZe8OWlxGop9cgZz65x3JtTTSygy7urZjXtod2LNFgcAy4oJVZLqYe2jXL3n7GasdClhY1mVYa2PdrSg/Y+pcRrCfXQtlFuzVjNa3L7YaF963HG6aqEWC2pHhrdxMZCSP+ZYkMz/0vW5XdPya0LC/KF21d3dM839x2TA6cXe0lA3wrA5uIP5JBclG/dSwJq57HjrBntuEi5PARIAObhyl09BEoZtH17Ybh9HNwvZQ/AGmz4GDT7Xfh8HRQWGs5d7alRSqyWUg9fG2vaclj3oLleU2ZYrLm9OXP6odWDlR/avUjbGrhKidVS6qGJNU1Mpvafvn68S1062xo9aMq0oX1rzZSURChBN6VoxkKXFjYstI9mut/XXKOb2Fiwmtf46qetx7Bx4Evvvz50b7/3j/+JHH/+Fe8egP02+vcD1IxT4/5M09Z8k/vEESABGMeNqxIJdD3BbJaXLy4uytbW1kBv3DLuJ598Ut577z1xJydpf2714Le//W155513JJeNI0eOyKOPPirvvvuud4VirB+NjbfffnsoJ8fFvfF67LHHgllpbTgfFhYW7n2arW2L1HJdx2pT/67rkVszzs+QWChVlyVq31o3XcfqKGrGtdHjjz8ur7/++q4r0gf1Y7k1Y6FLCxuhurTWDAnAuxGuHWcs5xy5dVmL9tFMdwlArW5SnwVqed74bxdfkIOyNvDx4I5MyLW5fyb/8Jkz8l9/+t/vulLwwYub/QBDxuRx1kzqsxnXpxEgAZjGj6sjCXT5gDhsibzvIevy5ctej91bnZQJo8bGyZMngxNt/Q9Zo2yj+TTbaul8l7HaH2xd1iO3ZlKTx5p4ttClhY1Y7VvqpstYHWXN9CepNKvOY2Ih5MWRY5liQ6PLkrVvqRkSgHeTf4O2ZBk28WpiWhNvMfFsoUsLGxbaRzMi165dk6NHj3qfFdoqEKOb3Jop/Xnj7PaPh+7t17SN+xz4D777f8jv/s//Vebe/5lMDGm0OzIpv1z4RfCz2bhqpq345z5xBEgAxnHjqkQCXT4g+pbID3LNPdy7g0KGnQjc7JGR24Y7pETzgLibL1o/SrZhuXS+y1gtJZmRO57dXnbY0PUvqbq0+EwLzUhSPLs28u0J5saa2Fho+s/cNkoZL1P7FwvNkACM14xjl3teY6WZWrSPZuwSgLnnTrHjjIUuY22c3v7p0BWA/XPv5nNg336Aa5MH5co3X4t6NhvHZ5rENAKXJxIgAZgIkMvjCHT5gOh76BnkkeaBSztJTLXhe7Aa1ipaP0q20SRa46Iv7KouY7WUBGANmtE8WKXq0sJGqi5dMiT3D82IN4E3LNY0CStNwqNrG74HR6vxMlWXFpohARivGccu97xG+3J3FHRp1b/kHmfQzF3CuednqXMOzThgbWNhe0meliVViLrE3sz3l737AbpE4X+89Y+8WzLtZnQcn2lU8CmUjQAJwGxoufEwAl0+IKYcT3/mzBnVabi5bZw/f162twcfTT+MvdsDRONHyTacD2fPnjURWZexWkoCMHc8u8+5sWGjSwvdoBlJimfXRprTHGP76Kb/zG1DM86MgvYtNEMyI14zjl3ueY2VZmrRPpqxWwGYe+4UO85Y6DLWxtT2ppySn8tR+dD7HOE+7d3z56tye2PVe3Lw+X/7F1HPZuP4TOMFT4GsBEgAZsXLzQcR6PIBMeVtmXtz2my2695Yra+vy/T0dO9TrPn5eWn2pcttI/b+zZtyjR8l2xjHt2VoZvfepImFEnSZ+jbeSpe5R6YuY7WUpHls/9nft/liehRs+Hyw0EwbNnJrhgRg/Eomi3lNbbp0zHzabKN/ya0bxpp43WjnTrFxYKHLFBsuCTgv78iCLMkeGbygolkB2NPMxqqs/OJl+dzfvSn7t9ZkY3JGfv+lZ2T22R/Kvv0Hk1ZjjttK89x9A/cfToAEIBHSCYEuB+2U/TK0+5rkthF7f9fY2r0mrGy8/dZfybz8tZyQ38qMrMuaTMsV+bIsyVdlc2Jq1/jU+tBGcHcZq6UkM2JjIaSdsPGUaPqXWE4h2k/VDZqJ388MzeijrzRW+prvXnLcdWPRt8XaKC3WavEDzaQSyD/WxMZayJyjSxu+z4GbPQA1LRXrR0j/oqnHsDKljDOpfnB9GgESgGn8uDqSQJcd0MbGhly4cEE2NzfVtZ+ampLTp0/L/v37VdfktjHs/q6uW1tbcufOnR11DfHDxMbvb8raXyzI7PaNHXX9QA7JRfnWjiRgiA+qxvIU6jJWS0kA5o5n5yc2dP2LhS5TdYNmiOeSxkur/gXdpBGw6NsYZ3TjDJoJi+Uux7zcMd21LnM/0wz7HHhl4rDM/Omi7P/cF1QBkbstVJUYkWeaNnzhHvEESADGs+PKBAJdDpYWb2hy24i9v2sy7ZsmCxvLr74oc8s/GxhJb8k3ZHHiiR1/1/qQEKL3Lu0yVktJAMbGQkg7YYMVgG3oFc34KaJLP6OmRAgr/V13LznuY03sGGAxrwmJg1g/xtEGmkklwApArW6G6bL5HPiE/Eam5WNZl4flinxFluRxefLpP1J9neFa0kL7qRFTyjiT6gfXpxEgAZjGj6sjCeTqgPr3NFlbW5OZmZms+/N1ZaPtPTl286MVGxurcv2Nl+Xg1Tfl4a1b8vHkAVk99owcee7ufhlr5+ZkZmt1YBTdkQlZlCd2fA48aD+eQe0RGaa9y3LFamidctbDp5vYWNhtj5muNON41+BHrA/O/5D2CI3PUhJvVvXIrRnnRw02fD7UossUvTTX5uzjQ+qXqx6+WLDo22JthMw5sHFAHtzPNsfcbBzmZz7NWPSfsfEcMuco2UZp2g/py3crm6t/T60X19sSIAFoyxtrf08gRwekOdFwFE4c1JycOBKncv2bf+09MWvvj47L5JDNd+89GD3wOXDIiXzNwSyx4ssRqzF1yVUPjW5i4017MmMturTwI7YtXMyFtEdMjI5TIuPixYuysrKyA9Ps7KycOnVKYtsppG8r3YZmLLPQjJWNFM3UnszIOc6E9G2la6aWU4C12kczgwloNGPRt8VqxkKXFjZKG5NreaZJ1T7XpxEgAZjGj6sjCeRIZviWXjfLxGPfNLm3QO6030uXLg302sqGO4H41q1bUfS1fqTa+Kcz/3no571uY113ktawFYD9DvZ/Dty8kdO2eRSojMnqmPrk0Iyrh4ZhbCxoY80dflGDLi38iG0L19Yh7RETo+OSAMytGbd6pgYbpYyXFrrUHODj01SuPt5n98G/56hHzngO6dti+8+QOQc29HPl0Ni0iNWYOnWlGYu+LTaeLXRpYaM07aeONTliNUYzXNMtARKA3fIfW+ttdkDNEvnFxcXe4ReDfu4tzsLCQu9wjMuXLwezn5ubk6tXrxZh49ixY7K8vBzsg7tA60eqjX/y/lk5KGsD6+g+77350KNy+JP3VH6syoxcmPhur+zJkydlz549om3z+fl5iX1r1masqhwdUKjNevR/VuJLJDvdxMaCJtaaCZybZMXEtMYG2r8bVCGs0MxOIYaMNbGaCenbYm24OHC6R/v+HtlKM64mbfbxfs8Gl2izHhaaCenbYjVjoUsLG6Vp370kYKy5X4shmrF4ponVjIUuLWxY6DLEhmvzGjSTMkZxbToBEoDpDLlDBIG2JpjDlsgPqtaRI0dke3tbbtzYefLsoGvcKVQhpwZb2Aitk/Mt9JrQ8v02zm7/WPV5722Zkn3iP5H5jkzKDya+JzFsm8/yYpKAbcVqhEzuu6StesRoxjp2tKxC4zMmdkq0EVqnmPZDMzsfygZ99su4cT8Bi/gMtWGh/RTN1JgAjBlrQts1pm8LtWEROxY2Qv22YOtspOimrXmRds4xqFxb9YjRzDjHTmhMh5a3YBtjowbNpGqO69MIkABM48fVkQTaGix9n5UMql7I25bYt18WNkp7m9u/iuv09k+HrgDsb5vrD/2hfPGT92TPkP0A3QrAv3n6L6NXcGpPCnswZtqK1Uip3LusrXrEasZVRLsaJlYzFjYsdGlhw0L7aOYz1cbqRqsZVnLk718sdBmrmRoTgDk143i5+QYrx3VfppQ8Jru2jNVNW/OiUZ+fWfRtFnMOzXiJ9u9G66hrJlVzXJ9GgARgGj+ujiTQ1qCdsm9YLfssWfgRs5fTwvaSPC1LqghZmzzYOx14bvlnA8u7PQOPP/9K0l5xjlXor61YDbWbKxEZq5lm0qWJhZL3jCltP5dYVpZ+hMZubZpx/sfqJmTfxdw2YmMN7esV0H9ipP6quyVr003ueLbY/6wWG6OgfeZnaeOMxbOAhQ3NHLMWXab6McqaCR0fKd8uARKA7fLkbkoCbU10z5071/ucN/RX2qlOsadsWfmhPdGtvz2mtjfllPxcjsqH3uZxn/fe+bO/9Z4avG//QUltc29lHijQVqyG2s2VAIzl5+qjPUU2Np4tbFhpppbTHJ0fob/aNOP8j9WNVjOc5pi/f7HUfqhmakwA1qAZC11a2Ch5TG7GfcaatHGmljlHzPNGSH9b0picqv1R1kxIm1G2fQIkANtnyh0VBNp6QEx5w9y8Oek/EGF9fV2mp6d7p/02m6xi44A4Vj5OrtkfZOWSgPPyjizI0tDPe90KwJnvL8vtjVVZ+cXLvdOB92+tycbkjPz+S8/I7LM/FJf8282GItx6RWJXZrQVq9p6DirXVj1i47mfoS8WSrbRHwe5/KjRRkj8thWrITZ3K9tmPWJjuokFX6y10bf5bMT6gPb1kRg7ztSYAIyNt5I0Y6FLCxuxbWGtfb3S7pZss48Ptd1fvq16xLZTbXMO31hmoZlRsREat23FaqhdypdFgARgWe0xNrVpqwOK3WMmZO8EbDwl2mPnB7HyfQ7cfN6rEYBFe+SY2Gl8G1ama824uml1E9tGFja0Pri6xPoxjjZq1kwtsRAbzxa6tLBRmi4f7O/b6uNHfawprZ1idVOSH7E+WOgyxAaa2V3dJcVaLeNlTX6UOD9LHae4Po0ACcA0flwdSaCtia57S/Taa6/J9evXd9Rk0GlP7sSl559/XrQnwmIjnZVbCfj8xBsyu73z5OWPpo7JwZcW763w84WURXuUOFhaaObw4cO9T+o//HDnZ9shuhnWRhY20P79KkIzIteuXZOjR4/6upeBf7dgmNtG17pE+8PDr60+PjrI//7CtuqRO55ddbGhm585Tv/h3/87mbvxn+SE/FZmZF3WZFquyJfl/UP/nWxOTI3EuF97ApB41sUz2g97ji3xmSZ1nOL6NAIkANP4cXUkgTYnmK+++qrcuLEzsbR371759NNPd9TQPYS88MILQQlAbOxTtbSbvAxi9Q/2bMnXPv2VnJDfyLR8LOvysFyRr8j7h/5Y/vm//FdFtUeJg6WFZg4dOtRLAH700UdJuhkWBxY20P7OBGDuPqxmzTQPG7kZDtNNGzHdtS7R/vglAEddM9Vof2NVVn+yIF/cvLojCN1L2P/j4P8oK79bLX7cH4cEIJpJf95oY7ysRfulakb1UEmhbARIAGZDy42HEWgrmRH7WQPL5fXxOY6sak5mxGrGMdHGQsk2tD44f2P9GEcbNWumlliIjWe0n2e8LPXBjPnZ/S0Tq5uSxoHlV1+UueWfDQzkt+QbsjjxxK5/1/oRyymkf0Ezuzehto1qGcvwQz8fL1Uz+lGVkjkIkADMQZV7egloJ5j9G8Gura3JzMxM1gM6sLGz6XbbkHs3Tu7K1A2Mfe1tZWOUkxk+hrFt5JhoY6FkG4M2y0b7adqvWTNW/U6sbmrQpUX/Upr2S30wK2V+5hvLatFlK35srMr1N16Wg1fflIe3bsnHkwdk9dgzcuS5uweorZ2bk5mtnSv8mhjcFpFbMtP7JHhJvtr7JLj5ldS/oJndH69K69tyj2WtaOb2bVlaWpIrV64IzzTex3YKVEaABGBlDToq7mgmmG7yd/HiRVlZWdnh1uzsrJw6dUrOnz/f+2Qx9OeOgXfHp2PDT86xOnPmjLctUo+zL8nGqCYzcsazY6KNhVhdWthA+37NNyW07f3gfqqa/l1fi/iSmnpoNFNL31ayLsdR+7XrJjbeQvqdraVBeQAAIABJREFUc+fORc8BS5pzJPnxb/613LqwIF+4vfPz3pv7jsmB04uy90fHZVJ0c+UP5JBclG/dSwJq2yO2vUO0j2Z2Hw9rmtdUo8uCnptKfKaJn9lxZRsESAC2QZF7BBPQPJj5PidwS97dm5tbt24F22/elmHDj86xOnHihFy6dGlg4ebzg5S3fiXZKHGw7Fozjok2FmJ1aWED7fs135TQtveDp4RrYlVfi/iSmnpoxgDnXw19W8m6HEft166b2HgL6Xdq0GVq//JPZ/7z0M973z/+J/K5v3tz6ArAB3vZ/k+Cte0R294h2kczu4+HNc1rSnoWqKV/KfGZJn5mx5VtECAB2AZF7hFMYNiDWfPZx+LiomxtbQ28t3vjdezYMVleXg62f/LkSdmzZ4+Muo25ubleAtSXBE1h5WxcvXp1aFs0Ezg3CYlpD40N58PCwoLcuXNHLl++HNzmITbm5+fvHUqiSSIEVybigq4146qsZRirSwsbaF8ffJr27n94a3RTm2as+p3cfVvJuhxH7bu4GqWxpv+TXOYc/n5U03+2Ma/5J++flYOyNrBCd2RCbj70qBz+5D1/pf++xKrMyIWJ7/b+T+uHRf8yappx/Gp5puF5Qy0ftWas5hYljjN6mpTMQYAEYA6q3NNLYNAD4rDPsQbddGpqSjY3N702mwJHjhzpfTKy28nBo2Qj1G/nW+g1oeUtbFi0X/OJufvcpPRkhoVmLNrVwoZF7FjYKFGXrv0a3dy8eVMeeeSRXnd67do1OXr0qLp/brNgm+OMRbta2Cg1dkLrFVregm2MjVEZa2LGGYs+3cJGTLtaxufZ7R+rPu+9LVOyT3Rz5TsyKT+Y+F6Rc8ZR0UyT/Bu0lRHPG/cTCNUM2tdpuX9uVtIzTZtzPe4VToAEYDgzrmiBwKAHM9/nWINMa99QWr1tYSWHf9VgyqpEi1VczWfNpScAUzTD6lFdZ1ZS/2KxyiLFhtPNo48+WnQCMFYzFv2OhQ1Wcuh070pZaH8UxppYzYQwTOl3tO0Ua8NCl7E2Tm//dOgKwP5ov/7QH8p/c/v/k+mtVZkYIgO3AvA/Hv9fsn3R4Uy7L0ZivxoZBc04H2N1o41ni2eaWM2gff04E6t9vYXPTg0u5ZkmpO6UbZ8ACcD2mXJHBYFBHVAt+y3k9sNir5WSbVjud1LKYJlDMy+99JJ3gpq61yb7uSg6xEr2V2we6p599tmiE4Ap/bOFZmqxgfb12ndtXvJYE6uZpk/QxAJzjgMSo/2F7SV5WpZUwbY2eVBmvr8sy6++6N038D/e+kfe7WV2M6rdMzB178PSNePYxOrGiuGo69Kif7F83vAljFPn4yVpRtVhUSgbARKA2dBy42EEBk10k05CK+jEpdx+WJy2VrINyxPPSn4ocxpLiTWLk7A50U03FpR00mKq9r/zne8UnQAsXTMWurSwgfb12nftUfJYE6sZR6CGvs1yzqE5mby/j57a3pRT8nM5Kh96A8592rvnz1fl9saq9+Tg8//2L4o+Ybl0zaTOz0rpP1PnAxo/SrZRsva9gu8r0PhRyjgTUnfKtk+ABGD7TLmjgkCu1Uz9m1Svr6/L9PR07wTb/g1QU97IubcnJdiI9aF5W6bxo2QbzRs554+vPWL9aGyUMljm0owFQ18bpb4p18RzLTZi49lS+7WvALTQTC020L5/QjQKY80o9DuacSDWD8s5R4z2XRJwXt6RBVmSPbI9MOiaFYA9GxursvKLl3snBO/fWpONyRn5/Zeekdlnfyj79h9MWr2maYs2xuTa52cl9J+xmrGcc2jiLdaP0rXvH2HulihtnNHWm3J5CJAAzMOVu3oItL0HYLMfiAa8b4n1oHuUZCPWB+eb1o+SbWh9cP7G+lH7HjOWDMdFl23Em49VbDxbar/WPQDRjC86P/s7rMJZlZzMGIV+x31S6vvF+jEq8ez7HPj9438ix59/xYep9/dRYFWyZkaFoS8YYuPAcs6B9n2tyB6AfkLjVYIE4Hi1dzHeDhq0NzY25MKFC0Gn+rqTo06fPi379+9X+VeDjWE+OB5bW1viDiJ58BfCqmsbgxozxAd3j9T2Ln2CmeqfRjTYKKd/6VqXmv7FHS5T8inAxHM58dxGH11LH1byWDMK/Y5mDli79od9DrwycVhm/nRR9n/uCxrJJM+dNEZS26NkzdTSt6H9usbLUjSj6R8ok48ACcB8bLnzEAKsANwdjvYtM2/knhLNG7823sCWMliimTTNtBELmk49Vps1aZ8VgKOxeqaEeK5Fl234UfJYE9uvsQpIo7K7ZbRjgC/Wms+BT8hvZFo+lnV5WK7IV2RJHpcnn/4js7mTxvPYuOILjc/opjL0tVPs/UNiumQbbelyGGdLG6WMM7644+95CZAAzMuXuw8gkGs/s/79MtbW1mRmZibrHoBd2Yjdy8I1R7MPhI9VyTYG7cmxW3vE+lHafhm5NONiIlcsaGPN1SG1nXw+1GIjlpOl9sdtD8Ac/Y6FLi1sjIsu2+hfSnkw260eo9DvPLgPGLrcOQG3nDtZaL9kzbTRJ1gw9NlA+3dP57YYLy1slKIZEiTdEiAB2C3/sbXOKcC7N30Np+U5z3L7YXkqVymDZQ7NcBKorgvWxvO+ffuSTmUe9dPyGu1zCvApiT3V0LJvCz1tVKeWu6VK0oyFLlNtlH6iKacAT4rFeFmLDc1YVrtmXD8Yq5uS+s/YsSxkHCjZRk1jcknjTMh8grLtEyAB2D5T7qggkGM1kzvt99KlSwOtN0usY99muTenpdi4cuWKuH22Yn5aP0q20bzF9n024No81o9xWQGYm2EpmnGfjKN9XR8Wq5lmlWHtKwBza8atNqjBBtrXjdCjMNbE9p1Nn6CJhdR+J6cNyzkH2vfrZhQ0k7oCUBPPFvOaknVp0b/Upv1SFjX4VU6JnARIAOaky70HEsixn5lvkNJ24oMqrUkmWdnwTQyGhZ7Wj5JtaJO5mmTnsPZ2k6tSBsscmtFMHlMZjpMuNYmb1P6lZF0635w2a98D0JcMSdWMhS4tbKB93SRwFPYz8yWlmHPcJYD2744BFtqvfX5mwVBjYxTmHDn9sHzesJhblPJMoxsdKZWLAAnAXGS571ACgzqgYZ8kDbrhkSNHeg+cly9f9lJ3Hfnjjz8ur7/+uqysrHjLNwVKs3Hy5El577335MaNG2ofXMEQP0q1MTs7K9/+9rflnXfeGbriswET44ezcerUKXGfqJQyWObQzLvvvqtaSRrDMCTW3EPTY489FhzTITbQvr6fjGlvp7dGNzdv3iz6FOCYccaq38ndtzWaQfv+odOifxmVsSZGM8w59PMzi/6lFu2PimZc/MfoxqLfCbEROx+owYaFLq1slPZM4x+BKZGTAAnAnHS590ACw5IqzYa0i4uLsrW1NfAebl+GJ598Mjhp0N/ZjrKNkMlcLKvGxttvvz20LZo33ylJHJ8N58PCwkJSAldrY35+vpf8c7/SE4DNJHNpaUlyxXP/g5yGYYwuLWygff0Daaj23SqBRje1acaq30l5OTXKuhxX7bu4GqWxpv+wAN8WJMw57r5w0ejSon8pdUwO1f6oacZifmYxr+F5I3zBSCnaL1UzpEi6JUACsFv+Y2td84Do++TErehxv2H7/g0C3CzpxoY/BDWctTyHtYevLS1t9NdTE6t+iuklNPXIGc/OA20s+NpyGI3cNrRxpKnHOPQvvrZseNasGfepmU9bo9C3+dqyS11a9C+lad/FVc26iY03Td+rbctR0KVF/xLbFha6DLGBZnaPaK0eNNrqel7ji1Wtr2j/7py9VM2kPxVxhxQCJABT6HFtNAFNMkNzQuErr7yi+oTxwYo2e/Vhw9+EjtWLL74oFy9e3PWz6f7PMXz7VwyyVpqNUX0oyxnPjom2nWJ1aWED7fs135TQtnezWra5TtO/62sRX1JTD41mnH819G0l63IctV+7bmLjLaTfqUGXFv1LbFtY6DLEBprZfTysaV4zbs8bFn1Yic808TM7rmyDAAnANihyj2ACmgczd9P+T07W19dlenq6dxJv89nMuXPnZHt7O9h+c6w7NvzoGla+tnB3Sm2PUmyUOFh2rRnHRBsLsXFgYQPt+zXflNC294N31MaqviZxJbX1KKXfidWNtp1i72+hSwsbpWm/dt3Exps2nmuac+RmFXt/C12G2EAzu4+FpfVtsfGG9vVznRBWJT7T6D2lZA4CJABzUOWeXgLaBzPfjVLenLgTOzU/bByQcWNV4mDZtWYck+Yts083sZqxsKH1wdUl1o9xtFGzZmqJhdh4ttClhY3SdDnqyYxc40Bp7RSrm5L8iPXBQpchNtDM7qorKdZqGS9r8qPE+Zlv/ODveQmQAMzLl7sPINBWMiNlX6YH90UY1FjY2LmHRO2sShwsu9aMY7LbfiK7xUKsZixsaH1wdYn1Yxxt1KyZWmIhNp4tdBlq4+23/krm5a/lhPxWZmRd1mRarsiXZUm+KpsTU7sOUaXpsvZkRmy8ldZONfgR60OoLmP25A6xgWZ2n32jGf3j9jiyKnF+pm8xSuYgQAIwB1Xu6SXQVjJjY2NDLly4IJubm16bTYGpqSk5ffq07N+/X3UNNsaPVYmDpYVmnDbcydt37tzZoY0Q3QzTjIWNQcIO8cHdA+3rtV+zZmqJha512Zr2f39T1v5iQWa3d55q/YEckovyrR1JwBK1X3syg/5T33/mZlWL9tHMztlNiX1b7niuZUy28qPE+ZnqAZxC2QiQAMyGlhsPI9BWMiP2reY4vgGClX4lY4mDZdeacUy0uomNNQsbWh9cXWL9GEcbNWumlliIjWcLXYbYWH71RZlb/tnAKcZb8g1ZnHhix99L02XtyYzYeCutnWrwI9aHEF1a2EAzu3d7aEb/zD2OrEqcn+lbjJI5CJAAzEGVe3oJtJXMiN3XpH+/jP4N4NfW1mRmZua+g0awcXcPQB8n1+iprCxseIPzgQJtxWqo3VwT3dg2cvXpP2luaWlJrly5Im1qxsIG2tdHYsi+QiVOMNvUbqxutJqx6D9jfbDQ5X02Nlbl+hsvy8Grb8rDW7fk48kDsnrsGTny3A9l3/6DsnZuTma2VgcG8h2ZkEV5YsfnwNba1yvtbsk24zXUdg79xsZbSZqx0KWFjdi2sNZ+aNyimbvErPs231w9Nt7Qvl4Boz4/03tKyRwESADmoMo9vQTaGrTbOGnq4sWLsrKysqPOs7OzcurUKTl//nzSScNuoBx1G2fOnPH6sG/fvqRTgC1snD171hubuRJvwYYfuKBrzbjquFPHNO0UqxkLG/0np426Ll08W/QvobHbVqyG2s2p3ZSxRqMZi/6zZF3e0/6/+ddy68KCfOH21R3Nf3PfMTlwelH2/ui4TMq2Nzwe/BzYUvveyu1SoDbd1KAZC11a2BgF7TM/k6Q5tNV8IPeco5Tx0kKXqTZGWTMxYyTXtEeABGB7LLlTAIG2Jrqpb5l8nyy4peJuldOtW7cCvLv/jVwNNk6cOCHDNndultSntIeFDe1pxv2N3VasBgdQpgRgbBu56rg3jpp2itWMhY3mrWkNunTxbOFHaOzWphnnf6xutJpxh1LltlGyLhvt/9OZ/zz08973j/+JfO7v3hy6ArA/Xvs/B7bUfqhmXPnadJM7ni00U4uNUdA+87O0ccZqPpB7zqGZY9aiy1Q/RlkzMWMk17RHgARgeyy5UwCBtia6voFoUJVOnjwpe/bskcXFxd6hB4N+bsXAsWPHZHl5OcC7u0UtbMzNzfWSk74EZYofzsbVq1eHcmoe3twDVgwrjQ3nw8LCQu+AisuXLwe3R8i+HzUnAGM145ho2ylWMxY2LHRpYcNC+2jms54gVjdazaT0bVobJeuy0f4/ef+sHJS1gf27+7z35kOPyuFP3lONAasyIxcmvms2JsdqpsYEYE7NjMKcQ6tLtK/fX/hB0bf1LKHqTIYUaqsesZqpZc6h0QzavxuIsWNNW7Gaqhmu75YACcBu+Y+t9bY6oGFL0QfBPXLkSO+T3hs3dp4gOOgad8pWyEnDFjZC6+R8C70mtLyFjRi2zefcbrl96K+tWA21m2uiG6MZi3a1sBETO6EasLARWqcYtmjmfgXG6Ca0nWqJnVC/++Pz7PaPVZ/33pYp2Seb3m71jkzKDya+JxZsUzRTYwLQQjMxfVtofFrEjoWNUL8t2DobKbphfiYmfVupsRNar9DyFrqMsVGDZryDNwWyEiABmBUvNx9EoM1Bu9mMVrOaz+JNq4WNUVjJ4Vs1mLIqMeRtp2uP+fl5iUn+1fhQ5nzq38CZ1aP+flrzVjp1harWhoX20czuMREy1sS2U0jfFmvDYvWoJp4dZbdqvH/l+Ontnw5dAdjfMtcf+kP54ifvyZ4h+wG6FYB/8/RfRq8c1/jRaD9lnKl9rNHMz2Lj2bHTtlOsDQtdWtgoTfvuc88U3bT5LOGfCQwu0WY9QsYZnjfGT/u1zM9S9Ma16QRIAKYz5A4RBNocLBvzvqXzo7JPnWb/i1HYzyWnHyF7Obk9NlJ+OWI1pj656qHRTWy8lbT/WepeK5p4trAR2xZNskXrR0yMNtfkitXQOuWqR27NjPNeTgvbS/K0LKmaem3yYO904Lnlnw0s7/YMPP78K9n3V0wdZ2pNAIbMzyz6tlgbIXMObOj2CkYzw7s5zThTy5wjVjMh85pYG6VpP1U3ueZFqkGbQsUQIAFYTFOMV0VydECak6lST1wq5XSqUTjRTcMq1o+Q0xxjV/6NSzJDo5uUdtLEQS26tPAjti1cPGtPcUYzw8fj3JoZ59Mcp7Y35ZT8XI7Kh95Jkfu8986f/a331OB9+w8mna6p7cO8FfYUyDEviqlTjnrk1ExI3xbbf4bMObAxKWjmaIz07rtGo5la5hyxmhlH7dcyP0sWCDdIIkACMAkfF8cSyDHBdHXp/7RxfX1dpqene6eW9n9ikHIynVuZUYKNWB+at2UaP0q20byR07Z5bJzWviqj4eKL6dhYaNrJd39XD2wckFJ0maIXNHN3u4HUeNb0baNgI0b7Lgk4L+/IgiwN/bzXrQCc+f6y3N5YlZVfvNw7HXj/1ppsTM7I77/0jMw++0NxyT+r/gXd+BPnS0tL4lbi7DY/i41ni3lNyJwj1o/abGi0j2bSNGPRt8XGs4UuLWyUpstaNJPqB9enESABmMaPqyMJ5EoAaqrjW1Y/6B4hJy7lthF7f+eb1o+SbWh90MSDr0yXsdpfty7rERsLIe2EjadE82lHLKcQ7fs04ft7l7GKZnytox8D3J1i460N7fs+B24+7/V7bOOHph7Dyoy7bmJjLaRvi7XRRjz74mMcbfiY+P4+7pqx6KNjNWOhSwsbpenSpwnf30vRjK+e/D0vARKAefly9wEEuuyA3FvJ1157Ta5fv76jdoNOiDp8+LC88MIL6oMknI1XX31115OG9+7dK59++ukO2yE2ht3/0KFDvVOOP/roo5G2MYiTOzHr+eefV7dFqgi7jNVSkhk1aMaxzK1LCxs+7bs6fPjhzs8nLXWDZu7G2qiPMxbxPMyGWwn4/MQbMrt9Y0c3/tHUMTn40uK9FX6+fj5G+5aacfUfd90M04ybH21tbWWd17QxN+taM85+l36gGZFr167J0aPpnwD7+rTm77nHGt+co+bnjZDnsljtj6tmtPFNuTwESADm4cpdPQS6nOhaPAjEDMghg4BvouwG5NQkQNc22krGpoqxy1gtKQEYmtAOiedm4hSaMBlHGz5dtvGQjGZSCcQlm8cxnn3a/4O92/LVzf9HTshvZFo+lnV5WK7IV2T58B/L//Cdf6V+ERQzJoc+/KVGzbiPNb5EQxsvN2LiAF3me1mOZlIJ5B9rfHOOmp83LLQ/ruNMeuRzhxQCJABT6HFtNIEuJ7qxy9lLWgYe64NrMK0fJdvQ+hAdoH0XdhmrpSQAY2MhpJ2wwSfAbegVzfgpoks/o6ZECCv9XXcvOe5jTewYYDGvCYmDWD/G0QaaSSWQf3uD2Hi20KWFjdJ0mRoxpYwzqX5wfRoBEoBp/Lg6kkCXHVDshra7HWiwtrYmMzMzWQ8a2c1GrA+uubR+lGyjf1PeyBBUX9ZlrJaSzIiNBW2sOT+xsfMQkFzaVwd/ZEE0kx7PDn3/JvptxsKgTc1z2PD5MCraj5RC0GXjrpvYMcBiXmOpmVq0HxT8kYXHXTMW/WfJuqxR+5FSUF9WimbUFaZgFgIkALNg5aY+Al12QOfOnevtkRf6m5yclDNnzsjFixdlZWVlx+Wzs7Ny6tSp3idJuW2cP38+ygdXaa0fJdtwPpw9eza0CaPKdxmrpSQAc8ezhWZqsZGqSwvdoBlJGgNcG7nEmW+siY2Fpv/MbaOU8TJV+xaacX39uOsmdpyxmNdYaaYW7aMZuz0AY3VTw7NAbdqPekgJvKiUcSaw2hRvmQAJwJaBcjsdgS47oNi3We4N8IkTJ+TSpUsDnWyWiue2ceXKFbl165YO9gOltH6UbIMVgLabTOeOZ3f6LTZ0/UuqLl966aWofiPkoi7791KS5inx7NrI99mVG2tiY6HpP3PbKGW8TO1fLDRDAjB+1axjl3teY6WZWrSPZuwSgCljjaaPjh1nLHRpYcNS+yHzrNiypczPYuvPde0QIAHYDkfuEkigyw7I99AzyJW5uTm5evVq7yS6QT/3Rm1hYUHu3Lkjly9fDqQiorVx7NgxWV5eDr6/u6AGGyF7ckRB6ruoy1gtJZmRUzPNBM5NsmJiWhvPFrq0sJGifSvdoJn4fZlOnjwpe/bskcXFRe9YExsLTjPuBZLvJZIbz1Js+MbLUdC+lWZIAMZrxmJeY6FLCxsW2kczti9oc87PUsYAC11a2LDQ5ThqJvXZjOvTCJAATOPH1ZEEunxAHPbZ0yB3Bp1IO6i8OznKfWZ848YNNaFQG6HlXUVCrwktb2Gj/1NrNdyEgl3GaikJQAvNWMSOhS4tbMTo0lI3aObu/n2DPuFl3NhJIDSmQ8vH6NJSMyQA4zTDuLGpnt2EaiaGLZoRuXbNNgEYM9aExkJo+ZjYKdFGzLgR6se4akbdcVEwCwESgFmwclMfga4fEJuNyXOusrB4a2TxNlezwsq1t1vBZbGKa35+vrfPotWv61ht/Oy6Hhaacb5q4i3lrbSFLi1shGjfrUy01E3XsTqKmil99WhuXZamfWvNkAC8q1rtOGM558j9RUct2kczj/Ri2DoBGKKblLlTyJxj3FeOa8fLcdaM1TMcdnYnQAKQyOiEQCkPiL6l86Owz5LFnjGafUL+f/beMLau40oTPKRMwdtL84meiS2JEkOt0EAjgQZqOAnMGGJsLPqH0TvTi7Gz8GS36WQMDCCgW07vBhBgQEGgCbweoKeDMAsIM4BnHc6s10CcPz296wHywwoFLwdJtC2MkKB/CBFDmZYt75p8NLtXI5rkop5y5Sc+vlenTt0699y63wP0R6yqU+c731dV99y6VbHnLHFtaBPWClet9COlZoqHOg4XpOfSaJ7nkhKrED+cNjV/VrhqpR8cHmiMn1LNaOhSw4ZlzSABeP8IZUUzGrrUsKGhfe15BprpndU5upFyIWT8jLHBWf9paEbLhubazJJmtP2GvfsRQAIQjKgEASsPZqlvQczlRjdLtzlqE9YKV630I6VmXGxT30zXxNscNXfMWlpg1kkzsTfVcsZo6a3BGrrUsBGifW3NQDf3z+yceUZDM7nY0NA+NFPdDsBCPRzdSLkQMn7G2ODMZbnossma0X6Wgz0kAMEBAwhYeTBzUBSfnLg3Vuvr6zQ2Nta57bf4ZC7mhq3iJrQcbPh8cFjGYsWxoU1fK1y10o+Umil2ATnd+LgQy7WUfnTfUm3BD2imms+yunH38UBj/JRqRkOXGjZCdKmtGSQAexG3oBkNXWrY0NA+NFN9AjCXdU2TtK+tG0vPEtq+w96nCGAHINhQCQJ1GoB8W+r7ARhyqxNsPElVfD7CIb8VrlrpBwczKZ9d21zdSG1w23d90bLxzts/oWn6BZ2kX1GL1qlNY3SFPkeL9AXaHBrZE/IQPzgxK7OMFa5a6QcX29R8k7avoUsNG5Y1gwQgVyX3l5NyOoQLOdiQ+hCiS1kE42pZGeOt9IODppQLTdOM1hqQE7Myy9SJq2X6jbbuRwAJQDCiEgTqNABtbGzQ3NwcbW6G3bZ25swZGh0dZeELG3ysWICWWMgKV630gwPtID67G9K2t7fJHay+++f+xtVNNpr56Ba1fzBDEzu9N4a/Swdpnr7akwQMwYkTr7LLWOGqlX5w8U3N6ap1WSftc2NWZjkrfLXSDw62qTXj+pCDDQ3tc+JVdhkrXLXSDw6+OfA5F11y4lV2mTpxtWzf0d6nCCABCDZUgkCdBiC8LePvztPASpuwVrhqpR8c/KU8cG1z3zJLbXDbd33RsLH02mmaWnq9L6xv05dpYejxnr+H+MGJWZllrHDVSj+42Kbmm7R9DV1q2LCsGee/Fb5a6QdHN1JOh3AhBxtSH0J0yYlX2WWscNVKPzj4SrnQNM1orQE5MSuzTJ24WqbfaOt+BJAABCMqQaBOA5D07JR+5w21221qtVpJzxlMYaP7TI692ndEKgOrSgg5wKgVrlrpByc+Uh64tgvd+PgmtaGuy41Veu/Nl2h8+S16aHuNPh4+QKuTT9PhZ1+m/aPj1D4/Ra3t1b6wbtEQLdDjPZ8Dd/vBiYlmGStctdIPLvaxnE6lGQ1datiwrBkkALkqub9cas2Usa7x6VLDhhSnbl3KIpS2lpUx3ko/OGhLuaC5drKgmTJ0yYmHdpk6cVUbmybZQwKwSdE25GudBqDz58/Tzs5OMHpaN2Zp3DSscSuX88PizwpXrfSDEyOpZlzbWd0CvLFKa3Mz9Mid5R7Ybu2fpANnFuiBPz9Gw+QfX3Z/DlyML5x4aJexwlUr/eBu7HkoAAAgAElEQVTiL9VNas1o6FLDhmXNIAHIVcn95VJrJpfbRqW3sha6xPpsMD/rNNfEaCaX5w0809i4sEY26qNWGQggAVgGimgjGIE6TZaxb8t82+3dtnp3A/Ha2lowjsUbudQ23K3IFy9e7Nu/4tOAWKyCAVCoYIWrVvrBgVzKA9e24zSHb9Y1424y9n3ee/3Y1+jh37w1cAdgN97dnwNb3s1khatW+sHRjCsj1U1qzWjoUsOGZc0gAchVyf3lUmvGXU6Wgw3pfFno0s1nFn9Wxngr/eDEKIbPjgc5PG9w1pix2odmOGxEmaoQQAKwKuQbbrdOk6VvsusXylOnTtG+fftoYWGhc+lBv5/blTA5OUlLS0vBrJiamuokDn3Jw1gby8vLA30oFonuAUviR8jZIsEgRVawwlUr/eDAKdWMa9tx2se3GD5r6LKw8Q/e/mMap3ZfyNznvbcePE6Hbl/jwEqr1KK5oRc6ZaEZP2R10ozzRqqb1JrR0KWGDcuaQQLQr+e9SqTWzMzMTOfCqkuXLgV3kKtLDRvSNSbmGl7Y6zTXxGgmh+cNDV1anmvqxFWe+lBKggASgBLUUCcagToNQO4sivn5eVpZWWH7ffjw4c5nwzdv9t7s2a8Rd0Ni6E3DIeWdXYs2JiYmaHZ2ltynNhZ/VrhqpR+cGEk0o8FPDV122zi38z3W5713aIT2k/+W8S0apu8OfZOgGQ4L7VyqwOstkUQ3Fsf00D5paN+6ZpAA5Krk/nIamtGeN7hIhOostLzrh3XdWFkXWekHhzsamtEY0zVsSLQPzXBYiDJVI4AEYNURaKj9Ok2WLkTFgbSc3XzW3+Zy337FvDHm2nBYTU9Pm03+4aFMPkBxNeMsuJ2j0t2jIVzT3slxZufVgTsAu9F978HfpUdvX6N9A84DdDsA/9NT/xaaYdKybvNM6FwjHaNz2Tkeon3r8wzmGqao9yjGnWvqsnOcs87U0D7WZ3xO1m2u0dCMQ487Rkv5rGEj5KsRaIavGZSsFgEkAKvFv7HW6zZZFoHybZ0v4yw8ztkUsee5WLHhztiw/rPCVSv9CI2XFc3EnufC0cxuGzM7i/QULbIgaw+Pd24Hnlp6vW95d2bgsecvsNqrspAVrlrphyQWHN1I54Gczo7l6lISA+06VvhqpR+h+OegGY0z1rg2sD7jMxCa2RurHM6nDZkvoRm+ZlCyWgSQAKwW/8Zar+tkOWjrfPe275hbtji3U8Xe6GbFhtXPfruFaYWrVvoROmhZ0UwVtzmO7GzSLP2IjtD7Xtjc571b3/q199bg/aPj3raqLmCFq1b6IYkHRzfSeUDrhnrOPKOlS0kMtOtY4auVfoTin4NmNG5Z5drA+ozPQGhmb6xyuKE+ZL6EZviaQclqEUACsFr8G2u9rpOlC1ixdd7tvlhfX6exsbHOraXdnxjF3rLlsyFt3/W/eJtlwUYdBGCFq1b6IYmZj2uuTSmnuXyuyoZLAk7TZZqhxYGf97odgK1vL9GdjVVa+fFLnduBR7fbtDHcoo8++zRNPPMy1SH553C2wlUr/ZBohjPXxGpGw4YV7UtjoFnPCl+t9EOCvY9vddCMhi45NiT4a9exwlUr/ZDgn0oz1p43NLQvwV+7Tp25qo1VzvaQAMw5uoZ9y30A8n2K0i803JujpO07u5ZsGKbova5Z4aqVfqSKmZTTXD67fldpw/c5cF0+7+XE3wpXrfSDg5mkTJV89vXXmi59/bXwdyt8tdKPFDGBZp6kOnymyI29Fa5a6QcXt5ByUs1Ye96Q+hEyl4XgWlXZnLlaFaZ1tIsEYB2jlkGfl5aW6NixYx1Pfvazn9GhQ4cy8OpTF9wbtTfffJPef7/3079+N7EdPHiQnn32WdaFGIPad+24G4g/+OCDHkyt2ahD0N1Nzl/60pc6Xb1+/XrnUOMqftBM7y25IXx2MUuty0E2RugTepb+DzpEt3ro8/+MTNDYP32T9v+XB6qgVuk2oZnSId2zwSr57DpUxlympUudiMRZgW7i8OPUhmZ4a0wOlhbKQDPpo5DL84aG9tNHI96CFc3Ee4IWYhBAAjAGPdQVI/Dzn//8XlJF3AgqAgFlBFyy+otf/KKy1bvmoJlKYIfRSASgmUgAUb2RCEA3jQw7nI5AAJqJAA9VG4lAlZppJOCGnEYC0FAwmtQVJDOaFO18fK1ysoRm8uFRkzyBZpoUbfhaFgLQTVlIop2mIADNNCXS8LMsBKrUTFk+oB0ZAkgAynBDrUgEbt++TVevXu208pnPfIYeeOCByBZRHQikQeCTTz6hDz/8sNP4iRMn6MEHH0xjyNMqNFMJ7DAqQACaEYCGKo1HALppPAUAQCAC0EwgYCjeeASsaKbxgagYACQAKw4AzAMBIAAEgAAQAAJAAAgAASAABIAAEAACQAAIAIGUCCABmBJdtA0EgAAQAAJAAAgAASAABIAAEAACQAAIAAEgAAQqRgAJwIoDAPNAAAgAASAABIAAEAACQAAIAAEgAASAABAAAkAgJQJIAKZEF20DASAABIAAEAACQAAIAAEgAASAABAAAkAACACBihFAArDiAMA8EAACQAAIAAEgAASAABAAAkAACAABIAAEgAAQSIkAEoAp0UXbQAAIAAEgAASAABAAAkAACAABIAAEgAAQAAJAoGIEkACsOAAwDwSAABAAAkAACAABIAAEgAAQAAJAAAgAASAABFIigARgSnTRNhAAAkAACAABIAAEgAAQAAJAAAgAASAABIAAEKgYASQAKw4AzAMBIAAEgAAQAAJAAAgAASAABIAAEAACQAAIAIGUCCABmBJdtA0EgAAQAAJAAAgAASAABIAAEAACQAAIAAEgAAQqRgAJwIoDAPNAAAgAASAABIAAEAACQAAIAAEgAASAABAAAkAgJQJIAKZEF20DASAABIAAEAACQAAIAAEgAASAABAAAkAACACBihFAArDiAMA8EAACQAAIAAEgAASAABAAAkAACAABIAAEgAAQSIkAEoAp0UXbQAAIAAEgAASAABAAAkAACAABIAAEgAAQAAJAoGIEkACsOABNNX/79m26evVqx/3PfOYz9MADDzQVCvhtHIFPPvmEPvzww04vT5w4QQ8++GAlPYZmKoEdRgUIQDMC0FCl8QhAN42nAAAIRACaCQQMxRuPgBXNND4QFQOABGDFAWiq+Z///Of0pS99qanuw++aIvCzn/2MvvjFL1bSe2imEthhNBIBaCYSQFRvJALQTSPDDqcjEIBmIsBD1UYiUKVmGgm4IaeRADQUjCZ1BcmMJkU7H1+rnCyhmXx41CRPoJkmRRu+loUAdFMWkminKQhAM02JNPwsC4EqNVOWD2hHhgASgDLcUCsSgaWlJTp27FinFTcAHTp0KLLFdNXv3LlDb775Jr3//vs9RkZGRmhzc7Pn/w8ePEjPPvss7d+/n9Ux2OBjxQK0xEI3b968t1v1+vXrNDU1VWLr/KZy0YzTxs7ODn3wwQdRuoFmoBmfeuqkGedLak4Pal9Dlxo2ypqTfdxK8XfMNeGoptaMhi41bGhoPzx68TWgmXAMoRn+2kkDq/AIxtWwopk4L1A7FgEkAGMRRH0RAu+++y4dPXq0U/fGjRt05MgRUTsalX7605/SxYsXg009+eST9JWvfIVVDzb4WLEALbGQFa5a6QcHWimfXdtc3UhtcNt3fcnFBidmZZaxwlUr/eBim5pv0vY1dKlhI0T73JiVWc4KX630g4OtlNMhXMjBhtSHEF1y4lV2GStctdIPDr5SLjRNM1prQE7MyixTJ66W6Tfauh8BJADBiEoQsDQAuTc8i4uLdOXKFWq329RqtejkyZM0PT3d2cH3/e9/n9bW1oJxOnDgAL344oudejnY8Png/IzFimMjOBCRFaxw1Uo/UvLZtV3oxseFWK6l9MOa9iMlEFzdClet9IPDNY3xU6oZDV1q2AjRZTDpS6hgha9W+uGbAzQ0k4sNDe2XIIHgJqxw1Uo/OHONlAsh42esjSZpP5j0kRUscTXSFVSPQAAJwAjwUFWOgJUByE0y8/PztLKy0uPMxMQEzc7O0iuvvNL5ZDH0Nzw8TOfOnesk/+pu4+zZs14fXLL0/PnzYqy4NkLjEFveClet9CMln12snG44XIAu+eML9yiCWK0U9a1w1Uo/OJrRGD+lmtHQpYaNkDlZWzPOfyt8tdAPK5rR0KWGDQ3tQzPVf9XE0Y2UCyHjZ4wNzvpPQzNaNspad3HbsTC+c/uKcukQQAIwHbZoeQACVgYg31Z4t+Xd7QyM2QGYgw23I3LQZ9DFpwExb/24NrSFZYWrVvqRks8utu4tM4cL0OXdHcaceHCPIihLW1a4aqUf3BilHj+lmtHQpYaNYgcLNx5l6YHbjhW+WugHN0apNePGzhxsaGhfe55B0rx3ZOHoRsqFkPEzxgZn/ZeLLpusGe68iHJpEEACMA2uaNWDQNULzGJ7+cLCAm1vb/ftrXvjNTk5Se4w+dDfqVOnaN++fZTShruQwiUnfQnKGD+cjeXl5YE4FQ9vboEgwYpjw/kwMzNz79Ps0HhIy1fN1aLfVfdDQzPOVy4XLOvSmva1dVM1V+uoGRejra0tunTpUvBQlVozGrrUsBGiS23NIJlxl/bceUZzzZFal7loH5qpbgcgVzexzwJNe97Q0H5x3FTwxC+sYGV9Juw+qpWEABKAJQGJZsIQqHIAGrRFvp8X/W4W7Ff+8OHDnU9h3W1L3F+ojdDyrh+hdULLa9goPs3W+tykSq52c6fKfmhoRoM7GrrUsCHRpaZuquRqnTVjlTuhfAstb1X7mppBAvBu8q/fcSmD1lGhfAstr6FLDRuhfkt0Cc3oX2wo0U0oF0LLS7hj0YaGLpuqGe6zMcqlQQAJwDS4olUPAlU+IPq2yPfrOneXRS5vc6U7rBx+XKykNkJuI4sVY5VctZLMSKkZ56PbOaqxe1TjbW5qG1LNOJy1dAPNyG+QDtmlJuVCE3eOS3WppRkkAOWa0VhzaOhSw4aG9qGZG3TkyJHYpSe7fsr1WcyOQQ1datjQ0GUTNcMmOAomQQAJwCSwolEfAlU+IOI8l7RnrBUJHc45HjHnhBQ3LPu4Fvv3KrlqJQGYg2ZyOTNGqplClxq6gWbib0T3PdTV4XxazhxQB11qaAYJQLlmNNccOeiSe3asdK7pvi02dv3lq4+5Rq6b1Octa+hSw4bW2YdNm2d82sbf0yKABGBafNF6HwSqnLQ1bqpNbUN6w5YLR+pbVjVsFLeRaQisSq5aSQCm5rPWbWs5+BGrfXczeeofNENRN6Lj9ngeQ7lzWez4oqEZJADlmtFcc+Rwy6rW+MJTcVwpzDVy3XDHz9g1B+dWX8s2tG4/bto8E6d81I5FAAnAWARRX4RAlZN2zG4m94amOGzXvR1dX1+nsbGxzq2l3Qe5prYhbb97F5DPD8s28IZZ9xMTKReKOPm45ngJG3dv9fVhJcUJOwDrpRkXr1Rc6B4/U9vwtV8X7YsWOoGVqlwXWXjZVMbY5uOb1IamZnLRfiD9RcWbrhmN8VOqmRyfNzTGF5EQAipZ0UxAl1E0AQJIACYAFU36EahyAPJ9wtGv9yFnNKS2IW3f+cb1w7INrg9+JvpLVMlVCw9lrg9SLoTECTaeJPc5pO8nxSlE+74++P4OzUAzodp/5+2f0DT9gk7Sr6hF69SmMbpCn6NF+gJtDo3sSblQGxcvXvRRt+fvITaCG99Voem60RjbpDZCeAAbvLksVi+uftM1o7E+k/I5ZM1h2YY17cfqxopmYv1A/TgEkACMww+1hQhUOQBtbGzQ3NwcbW5usnvvbqc6c+YMjY6OsuqktjGofdfX7e1tcoee7/6F+FG1jX5Ah/jACpanUJVctZIATM1n5yds8MYXDV3G6gaaAZ+D5suPblH7BzM0sXOzh3rv0kGap6/2JAFD5wGN8QW6iUNAY2zT4AFs8OayOLbcrY25Jv1cU7UuNZ5pynre0NB+rG6saCbWD9SPQwAJwDj8UFuIQJUDkPRNk6W3QFIfXLi4fli2wfVBSM/7qlXJVSsJQCkXQuIEG7xdE1KcQrQfqxtoBjsAQ7S/9Nppmlp6vS/t3qYv08LQ4z1/D7Eh1U2IDegmDgFpjELGNqmNEB7ABm8ui2MLEoAFfqn5Jm1fQ5caNqxpP1Y3VtZnsX6gfhwCSADG4YfaQgRSDUDd5zO0221qtVpJz+erykbZZ3Ls5YdlG/3O4+kXDyFNO9VScTW0Tyn74dONlAt7nQFYlWYc3jn4IfXB+R8Sj1B+WklWa/UjtWacHznYuLOxSu+9+RKNL79FD22v0cfDB2h18mk6/OzLtH90vBOu9vkpam2v9qXcFg3RAj3e8zlwCJ+lugmxEaOZJsw1qfgcMrbF8iAXXWr44Yt3rF6gmf0dCGM57YuTtH0NXWrYCHnekGIVYiNWNymfJWL7hvp6CCABqIc1LHUhkGIA4tzOFnsbIOc2Kw0blm/McmFOfbtYyK1cLh4xvxRclfQnVT84upHyjcsDDc3kYkMaixBdQjODFZpaM1q3dKb24+yf/Qmtzc3QI3eWewC9tX+SDpxZ6CQBt79zgIZpxzss7v4c2Nr44nXAUyDVGB/arxT9SMm1kLFNOn6GrDlgY5i4a+VQbu4un4Krkj6l6AdHMxrrGimfNXSpYcOa9nNZn0l0hjrlIYAEYHlYoqUABFJMlr5t6sU27pg3NO6230EHiWvZcDcQr62tBSD+aVH3ponjh2UbxdsybsxFQP22UgquSvqTqh8cDKVc4HLNXX6Rgy41/JDGwnEuJB4SjhZ1UnE1tE+p+pFaM+426Bxs/FHrbwZ+2nv92Nfo2PMXvDsAu+Pe/TlwCJ81xpdQfjYpmZGSzyFjm3T8DFlzwAZvjcm59MqnqVRjvM+uhnY5msllzSHVTBO1H6sbK5oJ1RjKl4sAEoDl4onWmAikGIB8C3zuAq6fCy6555uktGz4EniDwsD1w7INbqK1e1s9k5o9xVJwVdKXVP3g6EbKBS7XOAmPOuhSww9pLBx+IfGQcLQpCcDUmuE81HGSX4M0o2Hj5E+fH/hpb3t4nFrfXiLfGYDdfqxSi+aGXuj8VwiffQ/TZYwvMZpxdVON8aH9StGPlJoJ4YJ0/AxZc8AGf60cyk2NxJukT1VpJpc1h1QzTdS+i3nMLwVXY/qDutUggARgNbg33mqZA1BxfsWgnXkF4G4R99hjj9Ebb7xBKysr7DgcPnyYjh8/TpcuXfLW0bBx6tQpunbtGt282Xtr4qAOhvhh1cbExAQ999xzdPny5YG7MbtjPj09TdJt82Vy1UueAQXK7Ef3mS+cnaQSLoRwzSUzTpw4EczpEBsautSwIYmFo1UoVtBMrxhD5hpJnELHNomNggdXr15l7SKPsfHkwj8e+Gmv++h3fXicPpr4r+l3bv5HevSTd71D5BYN03eHvhnMZ415P0YzuSYAU2smdGyT8FlDlxo2NLXPWSsXLzFidFPmusg7+Civz6w800g0o6FLDRsaugy14daZOWgmRm+oG48AEoDxGKIFAQJlTdqDzsjo163uwXZhYYG2t7f7euDOfnjiiSeCExMaNkIWc1I/ChvvvPPOQJwcgLFJHJ8N58PMzIwogeviMTs7K0oClsVVgUzuq1JWPySa6V5oceIk0YyGDQ1datjQ0D40c79iJbrhjp8xY1uIDW1dntl5lcapzRr6bo0cpb89+DhN3niT9g04D9DtAPzrmddMzskxmskxAZhSM9bXHCG6lK5rQmxoa58l+t8WitFNWeuikP7uVbasfkg0k8uag8tnaJ8oB83Eag714xBAAjAOP9QWIlDWZBnzWY/7BMpX371pcT/Om7jdUBSfjORgw4cB19d+dOHgXIYNydkZZXFVKJV71crqh4+Pg/rJjZOPL1Xa4PKI4+sgPuc0voRytyyuhtrdXb7Mfkh1w+ERl5Ox46e2Lmd2FukpWmSH0Z0JOLRD3nMDl6eeMz8ns53uKlgmXyX2izpl9SMHzXDG8VhdatjQ1n4o/4oxMLReWVwNtZtqronRDIdHnPmo6nWNj6ta8yUHz6q1X+dnmljNoX4cAkgAxuGH2kIEypq0fefK9OtecTYc55atCxcusD6V2m0rJxunT5+m+fn5PT+b7n4TFRMPDRuSszPK4qpQKveqldUPaYxcRxynOXGSakbDRk66dHzWGMNCuVsWV0Ptpnooc+1KdcPVjDuiILUNbV2O7GzSLP2IjtD7rFC6MwH/i//xr703B194dd78nMxyeFeh3HSTms8amsnFhrb2Q/kvPa8ZmrmLdE7rGs4aMxddxvpR52ea0DEC5ctFAAnAcvFEa0wEypq0z58/Tzs77iShsF9xrbur1X0e2vr6Oo2NjXVuyS3OWICNYTp37pwXJ4dlLFa+WJRhI4wp+R3MLo2Rw63QjS9Olm1A+3wFdGPFr5WfZsoYd3ya0bBRhS5dEnCaLtNJ+iUdoDYNDSCSO99v33dW6c7GKq38+CV6+Ddv0eh2mzaGW/TRZ5+miWdepv2j49HzjNa8H6IZV7asdVGo3d3ly+qHlG/ceUZDM7nYkMZCe94P5W5ZXA21a1UzWmObbz6T8g3a5zOx7uszvqcomQIBJABToIo2vQiUNWnHvGHmvjmBjQPUNKy6CVwWV72i8BQoqx9SPrvucd/SW7bB9cH5K/WjiTZy1kwuXJDyuSzt+84ELG4F9o2VUj+s6TJVEsGHn+/vVc811uKUA9+kPpSlfR/nQmKe81wjjVMIfrCBZ5qjR492ZHTjxg06cuSIT574e4YIIAGYYVDr4FJZC8zY8zI4WMHGk8Q9ZyIXrHJeYEpj5DDhntNj2QbXB+ev1I8m2shZM7lwQcrnsrTvOxPQnQF47PkL3mlZ6oc1XeaeAMwlTjn4IfWhLO37RB2izZznGmmcQvCDDTzTIAHoG5Hy/zsSgPnH2KSHZSUANzY2aG5ujjY3N9l+joyM0JkzZ2h0dJRVBzaah1XOC8xBfHbacLdib21t9WgjRDdV2+gn7BAfXBvQPl/7OWsmFy5UrcvfeWCH/snmG3SEbvZIdGXoELX+dIFGH37EOy/nosvcE4C5xCkHP6rWfllrC2imd3jEugbPf95Js6tAWc/fITZR1h4CSADai0kjelTWAIQ3Wc17k6UR85yTGVL8rO0EkPqBN+X8KSYEq5w143zLgW9SH8rUfveZgGP0Ma3TQ3SFPk+L9Bg98dQfsHabS/0I4bOGjdyTGRoYwgZvDSjFqUztD5p5QrSZ81wjjVMIfrDB00wu877VeYa/EkXJFAggAZgCVbTpRYCbAOw+aLbdblOr1brvgo4yzrKAjcHh6r5dbHFxka5cuUJ7xcK1EhsPXyy0bNR5genDUBojhwmXC5ZtdJ+Vkwqr3Gz4cLK6wCxrntEad6S6yUGXGuOLNV3mrpvUfM5Flxp+SGOhocsQG9DM3ut1a2OblG/cuUxDMznZsPhM400UoEBSBJAATAovGu+HAOfBzD10zs/P08rKSk8zExMTNDs7S6+88krULcCw4eeou2nq7Nmz3li46+xjbv6yZMPiZFm1ZhwmXC5Idalho/uWOYwvg/XPjbfTfs6ayWVss6zLJmo/d91I+RYy7uSy5kjthzQWGroMsQHN7D1n57SusfQskFqXWmsLi+sz/9MnSqREAAnAlOii7b4IcJIZvm3qbsu72422trYWjHTxlgk2/NA5rE6ePEkXL17sW7j4/CDmrZ8lGxYny6o14zDhckGqSw0b0L5f80UJbrx3XxLE4Sq/F/KSnH5w5gDnXw5jm2VdNlH7uetGyreQcScHXWqML9JYaOgyxAY0s/d8mNO6xtKzQC7ji8VnGvnKDjXLQAAJwDJQRBvBCAx6MCs+N1tYWOhcSNDv5954TU5O0tLSUrD9U6dO0b59+6juNqampjoJUF8SNAYrZ2N5eXlgLIoFnFuESOLBseF8mJmZ6VxQcenSpeCYh9iYnp6m4k0zJ4kQ3BlBhao147rMxVCqSw0b0D6ffJx4dz+8FbrJTTNa407qsc2yLpuofcerOs013UcBYM3hH0c546fWuiYX7ddNM44luTzT4HnDr/mihCXtW9UMH02UTIEAEoApUEWbXgT6PSAO+iS3X6PuBqyQW4APHz7c+Wz45s3emwjrZCPUb+dbaJ3Q8ho2NOJXfGLukoDWkxkamtGIq4YNDe5o2LCoSxe/Qje3bt2io0ePdobTGzdu0JEjR7xzQooCZc4zGnHVsGGVO6H9Ci2vga3ERl3mGsk8ozGma9iQxNUiP0P7pIGtxEZdNFMk//odNYLnjfsRsMjPXLRvUTMp1nxok48AEoB8rFCyRAT6PZj5Psfq1wVrb1uwk8O/azBmV6LGLq7is2brCcAYzWD3KG9QszS+WN/J4XRz/Phx0wlAqWY0xh0NG9jJwdO9K6Wh/TrMNVLNhGBoeWzT0KWGjVy0XwfNOO5LdaMx7nBtWNalxviioUsNG9Y0w5+FUTIFAkgApkAVbXoR6JdUyeW8hdR+5HKei9QPzfNOrCcAY7j24osveheosWdt4jwX73DYKcA990qqGU0bzzzzjOkEoHXNaOhSwwa0z9e+i4fluUaqGc1xh8M36fipuebwJY1i5+RctG9dM477Ut1w1wM4PzL92ik37VuZZ3izI0qlQgAJwFTIot2BCPQbgHK5cSm1H7nc6Cb1Q/PGMyuTZQrNnDt3rnM+TcrbcHGjG28y4N58KdWM64WWjW984xumE4Ax47OGZnKxAe3zte9ibnmukWpGc9zh8E06fmquOVLPyRrjCycWsTegWteM475UN9y5OhZDTpykmoH2eeN/gZOGLi1pho8OSqZAAAnAFKiiTS8CKXYAureB3YdUr6+v09jYWOcG2+6DtmPeyFmxIfWheBvP8cOyjeKNnPPHF3OpH4UNyw9lsW+YHQ80MHYBqmMAACAASURBVPTFqAw/mmJDymdN7ee+A1BDM7nYaIouyxjDLM81dRh3Uq5rNNcc0L73EaKzYz73HYAcPpcx7vjGaGj/Ltdy0aWVecavcpRIiQASgCnRRdt9ESj7DMDibAMO5L7PK/q1YcmG1AfnG9cPyza4Pjh/pX5YOy8DmtlbmZpc4I4v77z9E5qmX9BJ+hW1aJ3aNEZX6HO0SF+gzaGRPZvh+iHls6b2cz0DkBujMsYdLtcuXrzIKXpfGfjBh0wTKysPZnv1ow7jjvsc0veT+qHJA58PGF8+Xcda1kwucZJqRnPNAe37Rw1rzzT+HqNESgSQAEyJLtoOTgBubGzQ3Nxc0K2+7uaoM2fO0OjoKAvxHGwM8sHhsb29Te4ikt2/EKyqttEvmCE+uDZi4219gRnrH0c0sBEwvnx0i9o/mKGJnd5bxt+lgzRPX+1JAoZwumpdcsYXd7mM5VuAwecAPmNOVltbWJ5r6jDucNaA0H5e2resmTLWnxbWZ9A+NMPhIcrUCwEkAOsVr2x6i91Me4eS+5YZb+SeJM4bvzLewFpfYEq5wOVaGRhyBq5c/Fh67TRNLb3e1+W36cu0MPR4z9+58ZDipPk2HjsA43ceN0kzUk5zNVOXMczyXCONkea4w1kTSP3IjWu5jC+WNVOXccfHBalmoH0fsp/+XXN8saIZPjoomQIBJABToIo2vQikOgPQazjyVq7iHAifHemZGd3nzAyyIW3ftZmDDa4Pzl8pVk05Y8bH5TIwbJKN9vkpam2v9nV5lVo0N/RCz9+5nJbyWVP7TTgD0MdpaZy4PIAu+XNZXbCy8mC2Vz+kfNYcdzjrM6kf0KVvxPv075pYWdZMXcYdX2SlmoH2fcg2WzN8dFAyBQJIAKZAFW16EUh5o+ni4iJduXKF2u02tVqtnktAYm7lKm5pqtqG1AcXmO7b7Ab5YdlG4YPzp/sA471iLvWjsGF9gRnrnwaGvhi5PsT6oWJjY5Xee/MlGl9+ix7aXqOPhw/Q6uTTdPjZl2n/6Hhn3Nv+zgEapp2+Y6D7y0Wa7jkPMAddFuNL7rcAa2gmFxsqurxzh6qek8sYwyzPNdLxGWsO73L4XgHNdY3G+KKhfcuaKWNM0MDQZwPaHyb37KehGQ0bVjTDHxlRMgUCSACmQBVtehFIsQPw9OnTND8/TysrKz32JyYmaHZ2lvbv3x+1I8yKjQsXLpA7Z0vyc29nOX5YtlG8YXYLF1/MpX40ZQdgagw5XKuFLl+YpbW5GXrkznKP7G7tn6QDZxY6SUDfDsCi8u7zAHPQpfPN+ZH7DsDUmiluf0w9tqX2IxvtK6wtrN9oGrsLiMMF6VxdjDspbWiuOVLrUmN84cQidt63rhnHS6luuOuBWAw5cbKsS2if/xRo7ZmG33OUTIEAEoApUEWbXgRSnAHojA66EbE4Y0F6noWrb8WGrx+DAsD1w7INbiw5vvbDytqNWSk0485M8ukhFkMfj7ixHBQnDRufvf7GwLP9rh/7Gh17/gL5zgDs9qP7PEAOzpwyFrSf+xmAqTWjoUsNGxq6zMWGi4eVnRkpbgHmxMlXpsqxjTtPxYzROdnwxZLra5PXZxoYcmz4ylSpS2ebozlOGR/Xcpn3rcwz3kQBCiRFAAnApPCi8X4I9BuABr357NfW4cOHyT1wvvPOO53bb/v93OcVMzMz9Nhjj9Ebb7yx507Buth44okn6Nq1a3TzZu9No4NYF4KVVRtuN+dzzz1Hly9fpoWFBW/MJX507xi1Mlmm0MzVq1e9O0mdbiQYcrnm+OreTJ44cSKY01wbZWj/9xe+TuPU7iuvLRqiG1P/hP7+02fp7179h3vuFNxduTgPMMQPSSycXQ0bhW5u3bpl+hZgyTyjNe6kHtsKHkD7/vVZiGaka4u6zDUSzWiNOyFxkoyf0D5/ncmNRcy8XxfNOB8luuFiWMa6hvPcJNEMtM/XjNb4UnwFZ+WZxj8Do0RKBJAATIku2u6LwKABqDiPYtBuvqLhU6dOBScNugfbOtsIeZBzeEmwKmxcunTJy+bYJA7HhnuLF5PA5dqYnp7ufC7uflYmyyo1072Y42Ao4ZqGjRjtn9v53sCz/QqBuM+Bf+eFf08f/od/QVPXX6ehAcrZomH66cyPg8cwi9o/efIkFbrJTTNa407qsc2qLq1r3zv5/bZA6PjieFWnuab7rDDOESQSvjV1zQHtHyfO2qJumimSgO6MUjxvDB5Jof3e46t8m1LqrBnuvIpyaRBAAjANrmjVgwDnAdF3doZLOLmHTs6kurs7xecHsOGnqsPKXaoyaMFfnC3h2yLfz5o1G9395HDVj2J8CU4/UvLZecCNk1SXGjak2j+z8+rAHYDdES4+B/adB9geHqcrX/mh6TGMq/2cNePOmsphbLOsS8vaDxm9Q8aX3bfWcsb4kL5Iy3L6kXKu4c4zuehSw49ctA/N7K3qkHFHygUtG9w1Rw5zsob2rWpGOj+hXjkIIAFYDo5oJRABzgLTN7hzFon9usVNWMHG3c8zfQsG7sJgUDws2ahrMiOlZhwmXC74FnCDhovUNqTan9lZpKdokTXSucRe69tL3vMAXaLwL9d+z/sZ9l5GpX6wHPhtIW4s3PllOWvG+edLeNRhbLOsS43xRUsznIe6Ys7MWTdSvoWMOznoUmN8kcZCQ5chNnKfa6Rxsja2xfhh6Vkgl/HF4jwTshZF2fIRQAKwfEzRIgMBTgKQcxPaK6+8Qjs7OwyL9xdxZ2e4a91hww+dw+rs2bPe23bdJ7Pnz58Xx8OSDYuTZdWacZhwuSDVpYYNqfZHdjZpln5ER+h9r2jcp737vrNKdzZWvTcHv/IXPxBrRmMM4+oyZ83kMrZZ1qVl7XsF31UgZHwpjpkoqnPG+JC+SMty+pF67cQdd3JZc6T2IxftQzN7qzpk3JFyQcsGtM8bubnrcaua4XmJUqkQQAIwFbJodyACnAWma6D7zJn19XUaGxvr7EYrzs2JeTtTbIuGjcFkLd4s+nByrcTGw4qNuiYzUmrGtc3lgpQHGjYKHyRYuSTgNF2mGVqkfdT/xUOxA7BjY2OVVn78Ej38m7dodLtNG8Mt+uizT9PEMy/T/tHxaM1I/OBOT9x4726PO75z+yEtx+2HlXFHqhtunKTta+hSw0aM9rkcDLGRu26kfOPyOac1R2qspO1r6DLEBjSz90gUMu5IuaBpoylzstYYZvGZhjunolwaBJAATIMrWvUgwH0w8wHp++SxX/29Pr/pVxY2nqTdn13kjpXFybJqzThMuLqRakbDBtcH15d+fvg+By7OAPSNX4Ns+OqW4UeZNnLWTC5xsqzLumg/lWZcu2WN8b4++v5eVj+kfLM2tuXgh9QHDV2G2Kh7AtCnPWmcmqqZd97+CU3TL+gk/YpatE5tGqMr9DlapC/Q5tDInnA3ESuL6zOfFvD3tAggAZgWX7TeB4GyFpgbGxs0NzdHm5ubbKxHRkbozJkzNDo6yqoDG83DyuJkqaEZp43t7W3a2trq0UaIbgZpRsNGP2GH+ODa6OfHoM+BV4YOUetPF2j04UcaNb7krJlBXBgU5LL4VpaNqnWZg/bLisVe7ZQ1xrMGngGFyuoH1k521k65aD/3BCA0E6CZj25R+wczNLFzs2c0e5cO0jx9tScJaG1O1lpbWFyfxc5TqB+HABKAcfihthCBshaYeFvWvN15GjG3OFlWrRmHCffNqTRGGja4Pri+DPKj+Bz4JP2SxuhjWqeH6Ap9nhbpMXriqT/ArtmjRzsyunHjBh05ckQ4U8RVK0szPi4M6mVZfCvDhmVd1kn7ZcSiCQlAKd8saQbatzXv554AhGb4zzRLr52mqaXX+w7Hb9OXaWHo8Z6/N3F8sfhME7e6Q+1YBJAAjEUQ9UUIlPVgVvZZFu12m1qtVtJzButqo/tMjr18cESIjYeGjVDClsXVULupFrrSGLn+7HU2U5l81rDR7xybMv3I0UYIf3PTTF3GNt/4Ce0foL3O/k2l/RDNuLK56UbKN+48k4suNfyQxkJjTu62Ac18n9bW1kJhuLc2cxVTzQOa6xp3dvJ7b75E48tv0UPba/Tx8AFanXyaDj979+xk92ufn6LW9mpfrLZoiBbo8Z7PgXMbX0LJYmWeCe03ypeLABKA5eKJ1pgIlDUAxdycpnGDZi42crmVy8Uj9FcWV0PtpkoASjXj+sO9dUx6y5yGDa2b7HLRPjRzV4lS3XA1o3HTsGVd5qZ9yXiPueYuapY0o6FLDRt10D7mmrh5Jpc1x9k/+xNam5uhR+4s9wyjt/ZP0oEzC50k4PZ3DtDwgMvYisq7PwfOaXyps2YkcyTqlIcAEoDlYYmWAhAoa6ErfatZvAHybbd3W8WvXLkS9UYuBxvu5uWLFy/2jXCxpT4mHho2it0fAVTFrowusJxuOHGSasaZSm0D2uezv/uNP79WfjuZnO/Wx7a66zI37Yfo5d6D6rvv0tGMPp3PQTPuArQc/LA8Jxfax/osbp5x+OXwvPFHrb8Z+Glvccmabwdg9xjc/Tkwd41ZB+3XWTOSORJ1ykMACcDysERLAQiUlQD0TXb9unTq1Cnat28fLSwsdC496Pdzb4omJydpaWkpwLu7RTVsTE1NdZKTvk8GYvxwNpaXlwfiVCzg3MQqwYpjw/kwMzPTuaDi0qVLwfEIOfeju/GyuBrc4V0VyuqHVDOuO9w4STWjYUNDlxo2NLQPzXwqQqluuJqJGdu4NizrMhftSzXj/C9rjK/7XMPhcx3WHBw/Ytc1XBvWtS/VDTST3/PGP7p+jsap3XcY2yGi9eFx+rv9f48O3b7GGu5WqUVzQy90ynI1ozEnx9iou2ZYgUOhZAggAZgMWjQ8CIGyJm131sX8/DytrKywAT98+DDt7OzQzZu9N0f1a8TdHBVy07CGjdA+Od9C64SW17AhwXZiYoJmZ2fJfWoT+iuLq6F2d5cvqx8SzWjEVcOGhDuhGtCwEdonCbbQzP0KlOgmNE65cCfUbwk/Q21oYBujmRwTgBqayYU7GvwM1YwGts5GjG7KWhfVeX2WG3fO7XyP9Wmvi9kdGqH9tOkN3xYN03eHvhn8DKSBrcRGDprxBg0FkiKABGBSeNF4PwTKnLSLA285u/li3rZYemtk/W0uFyupHyE7rFzMp6enRcm/HB/KOoumO3docXGR9Xk7do/aemMs1YyLO1eX0MzeM1fIXCONU8jYJrWhsXuUwzWHsts1bnnnOMePYhdXzDyT+1zDWZ9J+RwytkltaOhSw4Y17bujC2J0U+azRMwTW5n9CJlnNJ5ppJqR6vLMzqsDdwDujtN7D/4uPXr7Gu0bcB6g2wH4l8f+uegLJQ1dhtjIZX0WozfUjUcACcB4DNGCAIEyJ8vCvO8TrbqcU4eznPyECjnHzZ3jEfNLwVVJf1L1g6Mb6flBOZ21wtGlxpkx0lgUyRauHxKOFnVScTW0T6n6kVozuZzlxOVaDmesxc4zuSYAQ9ZnGmOb1EbImgM2eGcFQzODZzTOPJPLmqNbMzM7i/QULbKn+/bweOeG4Kml1/vWcecG/uXa73mPS9qrAWvaj9VNqnURO2AoaAIBJABNhKF5nUgxAA363KR7uzRucxwmzq2+lm+NC7nJVfLZb7ciU3BVovhU/eDoRsqFnG5b42gml9scoZnBCk2tmWxuczx7tu8RHbnNybGayT0BmFIzDjvuXBMzl+WiSw0/uPOlZC3UlPUZRzO5rDm6dTmys0mz9CM6Qu+z6OE+79361q+9Nwe/8hc/6Bz/FPoLed7QGF9i55pUzxKhuKJ8tQggAVgt/o21nmoA6v60cX19ncbGxjq3lnZ/YhCz28DtzLBgQ+pDsQuI44dlG923k3LiESO0VFwN7VPKfvgwlHKhiJOvfYcFbBwgK7oM5ebu8im5GtK3lP3wcTqWz87PHGz4fMhJ+yHc3KtsSr6G9C1VP3xckGpGY10TsuaQ+pGbDV+8QzjZr2wqrob2LVU/OBjG8s1nQ9p+jC5dEnCaLtNJ+iUdoDYNDQiI2wHY+vYS3dlYpZUfv0QP/+YtGt1u08Zwiz767NM08czLtH90PHqNaWVODuWm1fVZrB+oH4cAEoBx+KG2EIFUkyWnO75t9f3aCLlxKbUNafvON64flm1wfeDwwVemSq52963Kfki5EBIn2HiSOJ92SHEK0b5PE76/V8lVaMYXHf4c4FqS8q2J2vcjP7hE03Uj5VrI2Ca10UQ+a2AFzcQikH6MlvKgLF36Pgl2n/cee/6CF0ipH9a073XUU8DKPBPrB+rHIYAEYBx+qC1EoMoByL3t+uEPf0jvvfdeT+/73ZJ26NAh+vrXv86+SMLZeO211/a8afiBBx6gTz75pMd2iI1B7R88eLCzzf2DDz6ItvHv/s2/pmPv/xWdpF9Ri9apTWN0hT5Hv370D2lzaKQUG6E4uRuznn/+eXYshBS9V61KrlpJZuSgGYdlal1q2PBp3/Xh/fd7P53R1A00c5drdZ9nNPhs2YamZhwOTdfNIM249dH29nYla46QtZllPmv4Ac0Q3bhxg44cORK79GTXTz3X+NYcZT1v9HsWOPLIw/TffPSv6NHNGz2YfDAySeMvLnR2+Pl+Vtd/TdWML174e1oEkABMiy9a74NAlQtdySQQOkBLJuQQG76FspuQY5MAbjv96vdn6NHN5T0n3b96+J/Ru7c+6vlbWX6UlYyNFWGVXLWUAEydqE2tmeLBLDQpE8JnDRs+7ZfxkAzNxCIgSzZb45oGny3bCE2YxLKm6XONL9FQxssNzDP8l6cSrKCZahKAKddnvjVHKc8bA16YOU7t2/rP9F998H92Pgkeo49pnR6iK/R5Wjr0h/Tff+OfsTYESPisMSc3VTOx8yXqxyGABGAcfqgtRKDKhW4O28ClPrhwcbezL712euCtWm/Tl2lh6PE9GcC1IfWD276QnvdVq5KrVhKAGnGCDXwCXIZeoRk/iiHjJ3TJ06UfdX+Jps81Uq6FrGukNqAZP3+LEiFY8Vvdu2TTNeNQSc1pafsautSwEcJnKVYhNnLRTKwfqB+HABKAcfihthCBKidt6YG2e11o0G63qdVqJb1oZC8bUh9cuO75sbFK7735Eo0vv0UPba/Rx8MHaHXyaTr87N0Dc9vnp6i1vdo3wls0RAv0OC3SFzqfA3f/uFhJ/eg+LFtIQXa1KrlqJZkRG6fuQ6ar0ozDMgc/pD50a59NfmFBaCaeaw56n26kXOh32UCZcw13DqiLLoVSCKrWdN1I+XzfuubOHVpcXKQrV65QCj7nokstP4IEICjcdM1ojJ+WdZmj9gUyCKpiRTNBnUbh0hFAArB0SNEgB4EqB6Dz58+Lr4I/e/Yszc/P08rKSo+bExMTNDs729mKntqG9Kp512l3pf3ZP/sTWpuboUfu9H7ee2v/JB04s0AP/PkxGqYdbzjfpYM0T1+9LwnYscHASuqHa//cuXPevpVRoEquWkkApuazhmZysSHVTKF9Dd1AMxQ1B7gYueSfb66RcqEYP1Pb4MwBddClhmacPpuuG+k8c29do7DmSK2ZXLQPzeidASjVTep1uoYuNWxozZdN00wZz2doQ44AEoBy7FAzAoEqF7rSt1luR8PJkyfp4sWLfT0vtnGntuHebq+trYki4Pz4o9bfDPy8192q9fBv3hq4A7Db+O7PgblYSf3ADkDdQ6ZT89ndfgsbvPFFqpnuN+WigSOgUpXju5WkeQyfX3zxRe9nXW6ukXKhGD99nyvF2rAyX8aOLy4eGr+m60aqmWJs4/DNumZy0T40o5cAlOom9TpdQ5caNrTmy6ZpRmNOhY3+CCABCHZUgkCVC13fQ08/QKampmh5eblzE12/n3tTNDMzQ1tbW3Tp0qVgbLk2JicnaWlpKbh9V8HZ+EfXz9E4tfvWd5/33nrwOB26fY1lY5VaNDf0wr2yqf1o4nkZuWqmWMC5RZaE01yuaehSw0aM9rV0UyVXrSQApfPMqVOnaN++fbSwsOCda6RccJpxL5B8L5HcfBZjwzdf1kH7WppxWDRdN1LNFOsaH99i+KyhSw0bGtqHZnRf0Ep1w107SecADV1q2NDQZRM1w3q4RKFkCCABmAxaNDwIgSoXuoM+4ejX53430vYr726Ocjdj3bx5k02EUBuh5V1Hijrndr7H+rz3Do3Qftr0+rBFw/TdoW92yoX2K7R896fW3o6VUKBKrlpJZmhoRoM7GrrUsBGqGYetpm6gmbvn9/X7hLeu8wZ3OJXwM7ROaHmJLjU1gwSgTDOYN/zrs0K3oZqRYAvNVHMLcOhcE8qF0PIS7li0IZk3Qv1oqma46wmUS4MAEoBpcEWrHgSqfkAsDldPuctC462R9G3umZ1XB+4A7A7few/+Lj16+xrtG3AeoNsBOD/+P3UuGEm9i2t6erpzzqLWr2quFn5W3Q8NzThfU7+V1tClho0Q7budiZq6qZqrddSM9d2jqXVpTfvamkEC8K5qufOMK+vWGxprjtRfdOSifWjmaIfDN27o7gAM0U3MLtiQNYd01yBnnslN+5prM0vzjNYzHOzsjQASgGBGJQhYeUD0bZ2PPQPJ6nkuMzuL9BQtsmLfHh7v3A48tfR63/LuzMBjz19QOceN1ekSC1nhqpV+pNRMsbDDWU5+AoecS+POQNP8WeGqlX5wNBN7Tl1KzWjoUsOGZc1YejCzoBsrmtHQpYYN6dmHIbrUnmegmd5ZnaMbKRdCxs8YG5y5TEMzWjY012aWNKPtN+zdjwASgGBEJQhYWGAWb83qftOi5Na4kZ1NmqUf0RF63xt/93nv1rd+7b01eP/oeNTNl9wbI70dLrmAFa5a6UfKWxBd6FLfTKd5o1tKrEL80Nwxa2mBWSfNaNyGK701WEOXGjYsawa6uX/i5oydGprJxYaG9rXnGWimd7HL0Y2UCyHjZ4wN7rNA6tuPtbRf8iOLtzkr6yJvR1EgKQJIACaFF433Q8DSAFR8cuLeWK2vr9PY2Fjntt9iW3bMDVvFrU4Wbbgk4DRdphlaHPh5r9sB2Pr2Et3ZWKWVH7/UuR14dLtNG8Mt+uizT9PEMy+TS/65XyxWPpyqUJQVrlrpR5E4X1xc7NxCWqZmXNvFW2YfF2K5ltKP7luqLfihrRsrXLXSDw7XNMZPqWY0dKlhI0SX2ppBMmPvZMageUZDM7nY0NA+NFPdJ8Dd2FtYc0j5xl3/5aLLJmumCt9h81MEkAAEGypBwNKDmQ8A35b6fvVDbnWq0obvc+Di814fTu7vGn5w+lFmGStctdIPDrZSHri2ubqR2uC2r8VnDT84MSuzjBWuWukHF9vUXJC2r6FLDRsh2ufGrMxyVvhqpR8cbKWcDuGClo133v4JTdMv6CT9ilq0Tm0aoyv0OVqkL9Dm0MiecHD9kPoQoktOvMouY4WrVvrBwVfKBS7Xclo7aWDFiVmZZerE1TL9Rlv3I4AEIBhRCQJ1GoA2NjZobm6ONjfDbls7c+YMjY6OsvCt0sagz4FXhg5R608XaPThR8z4wepIiYWscNVKPzjQDuKzuyFte3ub3MHqu3/ub1zdVKmZQRiE+ODa0fCDE7Myy1jhqpV+cLFNzYWqdVkn7XNjVmY5K3y10g8Otqk1ozVGb3x0i9o/mKGJnZs9br9LB2mevtqTBAyZazS0z4lX2WWscNVKPzj4ZqOZTJ7NODErs0yduFqm32gLCUBwwAACdRqANN4AVW2j+Bz4JP2SxuhjWqeH6Ap9nhbpMXriqT8g7uHOGn5o09cKV630g4O/lAeube5bZqkNbvuuL7nY4MSszDJWuGqlH1xsU/NN2r6GLjVshGifG7Myy1nhq5V+cLCVcjqECxo2ll47PfCitbfpy7Qw9HgPJFw/pD6E6JITr7LLWOGqlX5w8JVygcu1nNZOGlhxYlZmmTpxtUy/0RYSgOCAAQTqNADFnmXh4O4+k6PdblOr1Up6zmAKGz4fnJ9lYGWAnvd1wQpXrfSDEx8pD1zbe50Bk4LPueiSEw/tMla4aqUfXPylukmtGQ1datjoPgOQGxPNclb4aqUfHOxTa6aMdY07P/m9N1+i8eW36KHtNfp4+ACtTj5Nh5/99Pzk9vkpam2v9nV5i4ZogR7v+RxYU/uceGiXscJVK/3g4B+rGY21k8bzhoYNTjy0y9SJq9rYNMkePgFuUrQN+VqnASjmpinJDb0hYcrpVi6HlcWfFa5a6QcnRlLNuLZxCzAH4bs4QTODsaqTZpwnUt2k1oyGLjVsWNaM898KX630gzMSptZM9E2gf/YntDY3Q4/cWe5x59b+STpwZqFzidr2dw7QMO14Xd79ObCW9jHX5DPXxGhG45kml1uAoRnvcIYCFSKABGCF4DfZdJ0WmLFvy3xbyN22eneb6traWjAlire/qW24W5EvXrzYt3/FpwGxWAUDoFDBClet9IMDuZQHrm3HaQ7frGvG3QCeWpfFLeOcmGiWscJVK/3gYi/VTWrNaOhSwwZ2APKYWCfdpNaMO/4kxsYftf5m4Ke9xSVrvh2A3ZHr/hxYS/uYa/JJAMbwWWNdw1n/xepSwwY0w5tvUKoaBJAArAb3xlut0wLT9xDfL5jcpBhnAVe1DV+yhZuI9PlhURhWuGqlH5wYSTXj2uYkxOugGc4CtQw/OPHQLmOFq1b6wcVfqpvUmtHQpYaNkDOsuDErs5wVvlrpBwfb1JrhJDwGrWtO/vT5gZ/2tofHqfXtJfKdAdhtY5VaNDf0Que/tLTPPQeaE7Myy1jhqpV+cLCN0YzGukbjeUPDBjTDYSPKVIUAEoBVId9wu3WaLN05EfPz87SyssKO2sTEBD333HN0+fLlgTvnigZPnTpF165do5s3e2+A62f08OHDdPz4cbp69Spr92CMjUuXLnl9d8mMEydOBPvhsJqdnSX3qY3FnxWuWukHJ0YSzbh2C05z1Yup9gAAIABJREFU+Cbhs4YutWxAM34m1kkzzhuJblJrRkOXGjaszzMOAyt8tdIPv8LTa8Yl2B577DF64403gtaAhS6fXPjHAz/tdR/9/mbqa/T3nz5Lf/fqP9zzU+HdOGzRMH136JvJ50tn17purHDVSj9Sa6buzxsh86VU+9AMh4UoUzUCSABWHYGG2q/TZFk8mC0uLtLCwgJtb2/3jZo7j2VmZiZqwfjOO+94bTzxxBPBibbuhywrNhxW09PTZpN/eCiTD1DFAcs+zTgL0uRxsZjj8FlDl1o2oBkeL+s2z4TONZJ5IOTFkZvPYmz4dKmpfeuawVzD0/RepbhzjZTP3S91fPPZbhtndl6lcWp7nXPnAf7OC/+ePvwP/4Imr//vtG/AeYBuB+Bfz7wWvAYM1T7WZ96w3StQt7kmtWYsPm9I5rJQ7UMzfM2gZLUIIAFYLf6NtV63ybIIlG/rfPGJka9cv8C7+u7nO2/PV2YQsSzZsLpFvhs/K1y10o/QQcunBS3NOK75+hKrSy0boTHQLm+Fq1b6IcHfx1XOOD6IzxyuxtrwzVOa2pfEQLuOFb5a6Uco/hY1M7OzSE/RIsuV4jxA3+fArtzy1HOsr0t2G+Zqzvrn8oVfVrhqpR8sonUVSqkZZ4Yzh3DKVPlMA82Esgrl64AAEoB1iFKGfazrZDnoE63ubd8xh+yePn267yfHhY0LFy6wPvvdizput5UVG1Y/+0UCsLxBx4pmHNdS61LLRnnRSdOSlfHdSj8kKHN0I50HijNbU9vgzDPQzKfssMJXK/0I1U1qPrvzAENtjOxs0iz9iI7Q+153ivMA72ysem8OvvDqvGgNGKJ9rM+8IbtXAJrZGytLzxsa8yU0w9cMSlaLABKA1eLfWOt1nSxdwIqt8+4Q2fX1dRobG+vcWtr9idH58+dpZ8ed7hL2c5+PuKvjfTak7bveWLIRhk41pa1w1Uo/JFHw8dm1KeU0l8852ZDEQLOOFa5a6YcUe59uYjXDmc9ibfh80NKlNAaa9azw1Uo/JNj7+BbLZ4lmXBJwmi7Tk/R/0dAAp9zZfvu+s9op4ZKAKz9+iR7+zVs0ut2mjeEWffTZp2nimZdp/+h49HzJ8UOCv3YdK1y10g8J/qk0Y+15Q0P7Evy169SZq9pY5WwPCcCco2vYt9wHoJidRpyr46XtO0oUb4B99NCw4euDhb9b4aqVfqSKiZRvXD67fudiI1UMymrXClet9KMsXHe3kwufNfxIFYMy27XCVyv9KBPboi0NrvWz4TsPsNgByPFbww9OP6ouY4WrVvqRIh5Srll73pD6EbLGTIF/2W3mzNWyscq5PSQAc46uYd+Wlpbo2LFjnR7+7Gc/o0OHDhnubXjX3IUh7l/oz+0idP98P2n7rl1LNnx+Wvi7u5n5S1/6Uqcr169fp6mpqUq6Bc3sDTuXz662VDfWbFRCwACj0EwAWBFFc+Gzhh8RMKtVhW7SQ63BtX42Hqf/m75Ml/s6uXz0v6XJr/7PLBA0/GB1pOJC0Ez6AEi5Zu15Q+pHyPovfTTiLVjRTLwnaCEGASQAY9BDXTECP//5z+8lVcSNoCIQUEbAJau/+MUvKlu9aw6aqQR2GI1EAJqJBBDVG4kAdNPIsMPpCASgmQjwULWRCFSpmUYCbshpJAANBaNJXUEyo0nRzsfXKidLaCYfHjXJE2imSdGGr2UhAN2UhSTaaQoC0ExTIg0/y0KgSs2U5QPakSGABKAMN9SKROD27dt09erVTiuf+cxn6IEHHohsEdWBQBoEPvnkE/rwww87jZ84cYIefPDBNIY8rUIzlcAOowIEoBkBaKjSeASgm8ZTAAAEIgDNBAKG4o1HwIpmGh+IigFAArDiAMA8EAACQAAIAAEgAASAABAAAkAACAABIAAEgAAQSIkAEoAp0UXbQAAIAAEgAASAABAAAkAACAABIAAEgAAQAAJAoGIEkACsOAAwDwSAABAAAkAACAABIAAEgAAQAAJAAAgAASAABFIigARgSnTRNhAAAkAACAABIAAEgAAQAAJAAAgAASAABIAAEKgYASQAKw4AzAMBIAAEgAAQAAJAAAgAASAABIAAEAACQAAIAIGUCCABmBJdtA0EgAAQAAJAAAgAASAABIAAEAACQAAIAAEgAAQqRgAJwIoDAPNAAAgAASAABIAAEAACQAAIAAEgAASAABAAAkAgJQJIAKZEF20DASAABIAAEAACQAAIAAEgAASAABAAAkAACACBihFAArDiAMA8EAACQAAIAAEgAASAABAAAkAACAABIAAEgAAQSIkAEoAp0UXbQAAIAAEgAASAABAAAkAACAABIAAEgAAQAAJAoGIEkACsOAAwDwSAABAAAkAACAABIAAEgAAQAAJAAAgAASAABFIigARgSnTRNhAAAkAACAABIAAEgAAQAAJAAAgAASAABIAAEKgYASQAKw4AzAMBIAAEgAAQAAJAAAgAASAABIAAEAACQAAIAIGUCCABmBJdtA0EgAAQAAJAAAgAASAABIAAEAACQAAIAAEgAAQqRgAJwIoD0FTzt2/fpqtXr3bc/8xnPkMPPPBAU6GA38YR+OSTT+jDDz/s9PLEiRP04IMPVtJjaKYS2GFUgAA0IwANVRqPAHTTeAoAgEAEoJlAwFC88QhY0UzjA1ExAEgAVhyAppr/+c9/Tl/60pea6j78rikCP/vZz+iLX/xiJb2HZiqBHUYjEYBmIgFE9UYiAN00MuxwOgIBaCYCPFRtJAJVaqaRgBtyGglAQ8FoUleQzGhStPPxtcrJEprJh0dN8gSaaVK04WtZCEA3ZSGJdpqCADTTlEjDz7IQqFIzZfmAdmQIIAEoww21IhFYWlqiY8eOdVpxA9ChQ4ciW0xX/c6dO/Tmm2/S+++/32NkZGSENjc3e/7/4MGD9Oyzz9L+/ftZHYMNPlYsQEssdPPmzXu7Va9fv05TU1Mlts5vKhfNOG3s7OzQBx98EKUbFc387Rqt/5tn6e9vrvT09SY9Qm/SH9Im3X98gUXt81lWTkloRoZjak4Pal9Dlxo2ypqTZRGMqwXdhOOXWjOuRznY0NB+ePTia0Az4RjmwOdcdBkevfgaVjQT7wlaiEEACcAY9FBXjMC7775LR48e7dS/ceMGHTlyRNxW6oo//elP6eLFi8FmnnzySfrKV77CqgcbfKxYgJZYyApXrfSDA62Uz65trm6kNrjtu74svXaappZe7+vy2/RlWhh6vOfvITY0/ODErMwyVrhqpR9cbFNzQdq+hi41bITokhuzMstZ4auVfnCwlXI6hAs52JD6EKJLTrzKLmOFq1b6wcFXyoWmacZhqYEVJ2ZllqkTV8v0G23djwASgGBEJQhYGoDc27DFxUW6cuUKtdttarVadPLkSZqenu7s4Pv+979Pa2trwTgdOHCAXnzxxU69HGz4fHB+xmLFsREciMgKVrhqpR8p+ezaLnTj40Is1zp+bKzSe2++ROPLb9FD22v08fABWp18mg4/+zLtHx2n9vkpam2v9mXQFg3RAj1Oi/QF2hwauVfOmvYjJRBc3QpXrfSDoxmN8VOqGQ1datgI0WUw6UuoYIWvVvrhmwM0NJOLDQ3tlyCB4CascNVKPzhzjZQLIeNnrI0maT+Y9JEVLHE10hVUj0AACcAI8FBVjoCVAchNMvPz87Sy0vuJ38TEBM3OztIrr7zS+WQx9Dc8PEznzp3rJP/qbuPs2bNeH1yy9Pz582KsuDZC4xBb3gpXrfQjJZ9drJxuOFyI1uXGKq3NzdAjd5Z7KHJr/yQdOLNAD/z5MRomv/bfpYM0T1+9lwS0pn3uUQSxWinqW+GqlX5wNKMxfko1o6FLDRshutTWjPPfCl8t9MOKZjR0qWFDQ/vQTPVfNXF0I+VCyPgZY4Oz/tPQjJaNstZd3HYsjO/cvqJcOgSQAEyHLVoegICVAci3vdtteXc7A2N2AOZgw+2IHPQZdPFpQMxbP64NbWFZ4aqVfqTks4ute8vM4UKsLn2f914/9jV6+DdvDdwB2M3F7s+BizflKbEKscE9iqAsbVnhqpV+cHjgYpR6/JRqRkOXGjYsawYJwPtHHyua0dClhg0N7WvPM9BM74zN0Y2UCyHjZ4wNzvpPQzNaNspad3HbsbIu4vYX5dIggARgGlzRqgeBqgegYnv5wsICbW9v9+2te+M1OTlJ7gKG0N+pU6do3759lNKGu5DCJSd9CcoYP5yN5eXlgTgVD29ugSDBimPD+TAzM3Pv0+zQeEjLV83Vot9V90NDM85XLhdidfkP3v5jGqd2X1q4z3tvPXicDt2+xqLOKrVobuiFTllr2tfWTdVcraNmXIy2trbo0qVLLL51F0qtGQ1datgI0aW2ZpDMuMto7jyjueZIrctctA/NVLcDkKub2GeBpj1vaGi/OG4qeOIXVrCyPhN2H9VKQgAJwJKARDNhCFQ5AA3aIt/Pi343C/Yrf/jw4c6nsO62Je4v1EZoedeP0Dqh5TVsFJ9ma31uUiVXu7lTZT80NKPBnW5dntv5Huvz3js0Qvup96bv3breomH67tA3yar2NXVTJVfrrBmr3AmdB0LLa2ufOydragYJwLvJv37HpQyKWSjfQstr6FLDRqjfEl1CM/oXG0p0E8qF0PIS7li0oaHLpmqGOw+jXBoEkABMgyta9SBQ5QOib4t8v65zd1nk8jZXusPK4cfFSmoj5DayWDFWyVUryYyUmnE+up2jGrtHu9/mntl5deAOwG7s33vwd+nR29do34DzAN0OwP/01L81vYtLSzfQjPz2wJBdatLxs4k7x6U7ObQ0gwSgXDMaaw4NXWrY0NA+NHODjhw5Erv0ZNdPuT6L2TGooUsNGxq6bKJm2ARHwSQIIAGYBFY06kOgygfE1OcsaZwbIT1fo0i2cM7YsGyj+zYyH9di/14lV60kAHPQzG5dzuws0lO0yKJHe3i8czvw1NLrfcu7MwOPPX/B/Dluxc3kLMeFhaCZ+BvRfQ91dTifljPPaMyXsTY0NIMEoFwzGusarfPPHNdy0D40o5cATL0+s/wskJv2hUuuoGpW1mdBnUbh0hFAArB0SNEgB4EqByCNm2pT25DesOVik/qWVQ0bxW1kHK7FlqmSq1YSgKn5rHXbWrcfIzubNEs/oiP0vpci7vPerW/92ntr8P7R8eQ3Ycdq391MnvoHzVAUD3B7PI+h3LksdnzR0AwSgHLNaK45crhlVWt84ak4rhTmGrluuONn7JqDc6uvZRtatx83bZ6JUz5qxyKABGAsgqgvQqDKSTvmbZl7q1kctuveiq2vr9PY2Fjn1tLug1xT25C2X7wt4/hh2QZ2AOp+YiLlQhEnC5px3N/th0sCTtNlmqHFgZ/3uh2ArW8v0Z2NVVr58Uud24FHt9u0Mdyijz77NE088zK55N9eNrgDJBcraSy6tc/tk7RcleO7laS5NE7dY5tPN3Ww4fNBQzNl2JBqIaRe03Uj5bPGuiY3XTrMfNqUxgPrs7zWZ1IeaOhSw4a29kPmDElZK/OMpO+oUx4CSACWhyVaCkCgygHI93lFPzdCzmhIbUPavvON64dlG1wfAijZt2iVXLWSzJByISROVdrwfQ5cfN7L4VNqP6Tth2if4+egMtCM/DyzumjGx5Em+uHDxPf3putGY2yT2mginzWw8mnC9/ema8bhkzpO0vZD1hzOxjtv/4Sm6Rd0kn5FLVqnNo3RFfocLdIXaHNopC8VuNqU+sFtXyMWPj1w/m5FM5y+okw6BJAATIctWh6AQJUD0MbGBs3NzdHmpv9mz8IFdzvVmTNnaHR0lBXX1DYGte/6ur293bmMYPcvxI+qbfQDOsQHVrA8harkqpUEYGo+Oz+rtDHoc+CVoUPU+tMFGn34ERadUvuhoUuWo0bHd2hmcPRCx8/UfK5a+4PQCsUKuolDQGNsA5/trGPj2HK3NtZn6ddOKrr86Ba1fzBDEzs3e2jh1mD/bvi/o9vb+5I905T1vKExvsTqxopmYv1A/TgEkACMww+1hQhUOQDl8BZI6oMLF/dtlmUbXB+E9LyvWpVctZLMkHIhJE5V2yg+Bz5Jv6Qx+pjW6SG6Qp+nRXqMnnjqD8hdJMD5pfZD2n6I9jl+DioDzaTfleHwl3KhTrocxDNrfkA3cQhI+RwytkltWONaLn7EMQYJQI15QMq1EF0uvXZ64CVrb9OXaWHo8T3pwtWm1A9u+xqxiNWLpaR5Gb6gDTkCSADKsUPNCASqfECUnmcRcq5JahvS9l3IuH5YtsH1IYKi96pWyVUrCUApF0LiBBsHiHNzohSnEO3H6gaakd9oCs3w2WcNK37P9y7ZdN1ojG1SG9a4losf0EwsAunnGinXQtYc7fNT1Npe7QvGKrVobuiFPf/O1abUD277rnMaNmIZY2WeifUD9eMQQAIwDj/UFiKQagDqPtS43W5Tq9XquaAj5kbT4va0xcVFcpeAVGVD6oMLV/eNVoP8sGyj+xZgTsyFNO1US8XV0D6l7IcPQykXuFxzWMDGMHHGFylOIdoP5ebu8im5GtK3lP1IrRnnZw42fD7kpP0Qbu5VNiVfQ/qWqh8+LmiMbVIbIWsO2ODNZSGc7Fc2FVdD+5aqHz7NaIyfUj7ft+bYWKX33nyJxpffooe21+jj4QO0Ovk0HX727gVq2985QMO00xd295eLNL3neYDcdabUD2vaD+Wm1fVZrB+oH4cAEoBx+KG2EIEUk6WbKOfn52llZaWnVxMTEzQ7O0v79++PekNz+vRpEzYuXLhAa2trIvTd2yyOH5ZtdN+Yyom5CKjfVkrBVUl/UvWDoxspF7hcy0WXGn5IY+E4FxIPCUeLOqm4GtqnVP1IrZnilnbf2CblQsj4GWODM89oaEbLRig/rT6YpdBNSs2EjG0xfM5Flxp+cLUPzfRHgKMZjbFNqpl7unxhltbmZuiRO8s9zt7aP0kHzizQ//cXvz9wB+C9tQUdpHn66n2XgnDXNVI/tOZLri5dzGN+Kcb3mP6gbjUIIAFYDe6Nt5piAPKd71Cc4+Ar1y84rr77Xbx4sW/8tGz4+jGIYFw/LNvg4hxydkc/zFJwVTIApOqHTw8cvtRBM+4MP5+vdfBDQ5fc8w6hmb0RiNUMh6t1sOHjKnccr4MuYzXjfEw1xofONyn64Rt7Y/js/OPU55QZxLVcdKnhB1f7odzcXT4FVyV9StEPjmY4sYwdP32x9D1vfPb6GwPP97t+7Gs0tEMDy3Tb2H0eIEfXnDJ10X7sXJOCqxLNoE61CCABWC3+jbVe5gBUbJFfWFjo3H7b7+e2cc/MzNBjjz1Gb7zxxp47BfvVPXz4MB0/fpzeeecdEzaeeOIJunbtGt282Xtj1iBShfhh1Ybbzfncc8/R5cuXiRvz6enpzu5Pya9MrkrsF3XK7Ef3ZyW+naRONxIucLnm/HNvWE+cOBHMaa4NaJ8oFCtopletIXONRDOhY5vERsGDq1eveneRQ/th836MZnJNAKbWjMMtZGyTaEZDlxo2LGr/5MmTFKObMtdF1tZn3PVt6mcaiWa6dfn7C1+ncWr3hXeLhmj56DP0Ozf/Iz36ybveMHSfB9hE7bvn2Bw04w00CiRFAAnApPCi8X4IlDVpD9oi389290Jr0G6+ov6pU6eCExMaNkIWc84XiR+FjUuXLnnJHJvE4dhwb/Eki53uT8C9juwqUBZXQ+3uLl9WPySa6V7MceIk4ZqGDQ1datjQ0D40c78CJboJGT+lY1uIDau6zEn7xVEjkvG+rDFeYru7Tln9SK0Zy2uOEF02XfuYaz5Vn0Qz1tcc53a+N/B8v8L7WyNH6W8PPk5TN35EQwMGsS0apv9l/DtRL40561gNXUpt5KCZ2HkK9eMQQAIwDj/UFiJQ1gLTt0W+X/eKT498Nza5BaZ7Q8lJFO62lZMNd+HJoJ1ixRkZMfHQsCHZOl8WV4VSuVetrH5IY+Q64jjNiZNUMxo2ctKl47PGGBbK3bK4Gmo3VdLctSvVDVcz7vyf1DYs6zI37Uu4m5tuUvNZQzO52KiD9rE+i5tntNYDoWuOMzuvDtwB2D1Wus+BH/7NWwPPA2wPj1Pr20vJ58s6aL/OmpHMkahTHgJIAJaHJVoKQKCsha5vIurXJW7CivPw1gQbvsUjN6kyCCsNG25CD/2VxdVQu6mSGVLNuP5wEuIxmtGwAe3zmVhgxa9xt2RumnE+SXXD1Qzn4S12/PQl7wfFmeuHZRua2g/VTI66yUEzGrrUsGFZl8W8j/VZ3DzDSVjFrM+k4+fMziI9RYusIdEl99ztwFNLr/ct75KEx56/kMWcHKv9OmuGRQgUSoYAEoDJoEXDgxAo6wEx9lp3zi1br7zyCu3s9L+evp+f3VfT+25ztG7j7NmzrNuPY+KhYePcuXPBwiyLq8GGd1Uoqx/SGLnuOE5z4iTls4aNnHTp+KwxhoVytyyuhtpNlTR37Up1w9WMO6M0tQ3LusxN+xLu5qab1HzW0EwuNuqgfazP4uYZrfVA6JpjZGeTZulHdITe9w6L7vPerW/92ntr8P7R8eTzZR20X2fNeMmAAkkRQAIwKbxovB8CZS10Y94wF29Oui9EWF9fp7Gxsc5nv8Uhq7BxgIrr6RcXFzufgO6Fk4t1LFa+WJRhI1SVZXE11G6qZIY0Rq4/xRtgX5ws2+je1ZbKjxxthPA3N82UMe74uKZhw7IuNcYXbV2GaMaVzU03Ur5x5xkNzeRiQxoLDV1224Bmvu+9nGkvjLTHNt98tptvLgk4TZdphhZpH/XfUFF83ntnY5VWfvxS53Pg0e02bQy36KPPPk0Tz7xMLvmXiy7L8KOumgntN8qXiwASgOXiidaYCJS10I05Y4Z7dkJONt55+yc0Tb+gk/QratE6tWmMrtDnaJG+QJtDI3tGr/i8lxPaXLDq9rUsrnLwG1SmrH5IY+T6xuWCZRtcH5y/Uj+aaCNnzeTCBSmfoX3+6B2i/d2tljXG83u7d8my+iHlWwiGsPEkcdayUpysaR+a2VuzddGM73Pg4vNezhgm5XRdsPJhEOKHxfWZzz/8PS0CSACmxRet90GgrAXmxsYGzc3N0ebmJhvrkZEROnPmDI2OjrLqZGPjo1vU/sEMTezc7PH7XTpI8/TVniRgU7GyOFlqaMbFe3t7m7a2tno4EsKFQZrRsNFP2CE+uDay0b7COJmzZnLhQtW6hPYHLznKGuNZC5sBhcrqB8ZPO+vMXLSfewIwd80M+hx4ZegQtf50gUYffoQ1hOWO1SAQQteyFtdnrCCjUDIEkABMBi0aHoRAWQtMvAHivf11sVh67fTAg3Xfpi/TwtDjPWELecuUSzwsTpZVa8ZhwuWClAcaNrg+uL5I/WiijZw1kwsXpHzW0KWGDWu6zD2ZIeWbtTjl4IfUBw1dhtiAZvZ+sqqTZorPgU/SL2mMPqZ1eoiu0OdpkR6jJ576A9aO1lzmZC0/LK7PkCWpFgEkAKvFv7HWucmM7nMm2u02tVqtpOfz1drGxiq99+ZLNL78Fj20vUYfDx/o3KZ1+Nm7Z2a0z09Ra3u1L+e2aIgW6PGez4H3Oo9nL5xcw9JzZqzZsDhZVq0Zhwk3TlIeaNjod1ZOrbV/5w4V53Om8MM3Dtf9oYzjn5TTXM1ojJ9SHzR0qWHDmvZz142Ub5Y0o6FLDRvSWGjoMsQGNLP3Et7a2CblG7TPTwuEYGXxmYbvKUqmQAAJwBSook0vApxkRuhNU16jXQWyuwl0Y9V7a9YDf36MhgccvlvAs/tzYEu3WGrdymVxsqxaMw4TLhcs3ziYnfbv3PHe0C2NBzfeTpc5a0Zr3El9a6qUB9A+f3URMr7krhsp30LGndSagfZtzfvQzN5jUci4E6NLjZuGz549613T5KJLLT8srs/4sypKpkAACcAUqKJNLwKcZIbvkwW35d3dSLu2tua1t7tA8eYkFxu+z3vdwbruNq1BOwC7Mer+HNhh5W5FvnjxYl+ci88PYt76WbJhcbKsWjMOEy4XpLrUsJGb9lOPYVxd5qwZd8h+DmObZV02Ufu7L2/gjPHBix1BBU4/rIw7OehSY3zJRfvQzN6Czmldw11zQPv8ZzOL6zPB1IQqJSKABGCJYKIpPgKDFpjF51gLCwudCwn6/dwbr8nJSVpaWuIb/m3JU6dO0b59+6juNqampjoJ0NnVf0nj1O6Lg/u899aDx+nQ7WssrFapRXNDL3TKOhvLy8sDY1E8vLlFiCQeHBsu3jMzM50LKi5dusTyo7tQiI3p6Wkq3jRzHoaCOyOoULVmuFyI0aWGjdy073sBEhMPjma6EzeFbnLTjNa4k3psk86XGrrUsGFN+45XdZpruj+VtzLu5LLmgPb968xiDVgnzbhxLZdnmuJ5A9r3L+A5a6emP9P4UUSJlAggAZgSXbTdF4F+D4iDPvvt15i7DSnkFuDDhw/Tzs4O3bzZextunWx0+31u53usz3vv0AjtJ/+NyVs0TN8d+iaFYuvwC60TWl4jfhMTEzQ7O9tJAlpPZmhoRiOuGjY0uKNhI1QzGtg6G4Vubt26RUePHu0Mpzdu3KAjR45UMhuWOc9oxFXDhlXuhPYrtLwGthIbdZlrJPOM1rgTyoXQ8pK4WrQR2ier8auLZork3/z8PK2srLDnwNA4afAztE9WuRPqhwa2GjYsaoYtCBRMggASgElgRaM+BPo9mPk+K+nXrrW3Ldpvc8/svDpwB2A3bu89+Lv06O1rtG/AeYBuB+BfHvvnot18uezkKD5rtp4AjNGMe5OLt7m+0Yq3C1brba71XVxON8ePHzedAJRqxtoOMikXsJPDr/mihMbaog5zjVQzGusBDRvQfrmaca253ZvSHZx10IzzUaobjXGHa0M6z2joUsNGLtq3phn+iIKSKRBAAjAFqmjTi0C/pArOdOCd6bD7PJeZnUV6iha9uLsC7eFcu87LAAAgAElEQVTxzu3AU0uv9y3vzgz8y7Xf8yaH+jWQ+qw4zfNOrCcAYzTz4osveheosWdt4jwXliyzOF+xeKh75plnTCcArWtGQ5caNqB9vvZdPCzPNVLNFGMChwuWz6nTXHP4kkaxc3Iu2reuGcd9qW64a2icH5n+bOrctG9lnuHNjiiVCgEkAFMhi3YHItBvAMKNbsPEuQFr9y1eIzubNEs/oiP0vpd57vPerW/92ntr8Ct/8YPOp9KSH/cWP+u3kbkbz6xMlik0gxvdeOzm8lnjRjepZpynXD9ibXzjG98wnQCMmWc0NJOLDc5cpqGZOtiwPtdINaM57nD4Jh3bcrplVWN84cQiVpfWNeO4L9UNd66OxZATJ6lmoH3e+rLASUOXljTDRwclUyCABGAKVNGmF4EUOwDd28DuQ6rX19dpbGysc4Nt96HBMW/krNjYyweXBJymyzRDiwM/73U7AFvfXqI7G6u08uOXOrcDj263aWO4RR999mmaeOZl2j86Ln5zWbzx52AVGwtnyxfzWBvWE4Cx/mlg6ItR7JtyDtdysSGNt4Yum7IDUEMzudiA9r3Loc7uX+u7meow7nDmAakfRYxy0aWGHxraz319poGhz4ZUM5prDmi/fvOMv8cokRIBJABToou2+yJQ9hmAxdkGHMh9n1f0a8OSjUE++D4Hdp/3Hnv+ghcqKU6uYS5WUhvc9l1fYm1YX2DG+uclQgkYwoYfAS6npfHW0GVhI9czALkxKmPc8TMmfmyDDT8CmjG3PNfUYdxxn0P6flI/NHng8wHjy6drTMuaySVOUs1orjmgff+ogTMA/Rg1qQQSgE2KtiFfB93O+MMf/pDee++9nt72u73J3aD0/PPPd25s5fzc26662xjkw9FH/x794f/7r+jRzeUeOD4YmaTxFxc6O/x8v0E2Dh061Pk8+P33ez85DolHHWJhfYFZBwx9XHN/hx+8MaxqXXK0X4dbgOs+B0Az+c37lueaOow7nDWg1jzzv/2v/5qmbv4VnaRfUYvWqU1jdIU+R78YeZz+7pOhnikxZN0E7X+qfcuaySVO0D5vbVaXeFvRDOe5AGXSIYAEYDps0fIABAYlAF977TW6efNmT+0HHniAPvnkk57/dw+kX//614MSgHW34Sbkfj4cPHiQ9m39Zzp+6y06Sb+kMfqY1ukhukKfp+sH/5D+h3/6z1hY+Wy4BOAHH3wQFY9BNqzE28pkCc1A+8UCc5D2U+vSjS8+G3VIANZ9DvBxwcr4yVkI1WEe0PDD8lxT9XqAM+5wE4DJtb+xSqvfn9nzJezK0CH64c6ztDk0ch+lmriOLWMMs6yZMvzTGHd8NqD9vJ4vrWjGxzv8PS0CSACmxRet90EAnwDvDQz3MxNsyX+SOFv+HcpSrKxtl4dm4jRTBhc4A3os33w2pO27drXGF3wCHD/u+HiQC5/hRz0+Z6zDuMNZE0j94I6djs9Lr52mqaXX+0r4bfoyLQw93vP3EBsaftTBhpVkRs7rMykPNNccVrQvxUpT+1Y0w1njoEw6BJAATIctWh6AgMYlIO12m1qtVtJLQKqyUfahvHv5YdlGvwO5y/SjDgezO4lJ46SJYfch01VppgysLPghjbfzv4i5z49YG88884zpW4Cl/mlqptg9sri4SFeuXKEUY5uGDR/XctFlGX5YeTDbqx9SzWiOO7svAkimmY1Veu/Nl2h8+S16aHuNPh4+QKuTT9PhZ+9eoNY+P0Wt7dW+K+AtGqIFepwW6Qv37QTMbXzR0L5lzZQxJmhg6LMB7d+9pEljvtSwYUUzSJJUiwASgNXi31jr/Qag8+fPdz4vC/0NDw8T5zp794lIDjZeeeUVEU4OVy5Wlm04H9x19m7hMj8/TysrKz2UmZiYoNnZWZL6UdiwMlmm0IwGhk3Spcb4IuWzpva/8Y1vmE4AxswBGprJxQa0z1vJ1GGukWpGc9zh8E06ft5bc2ys0trcDD1yp/eM5Vv7J+nAmQV64M+P0TD517Hv0kGap6/eSwJqrmtSr504sYidL904mfP6TANDjg2pZrLTvsLzRmpdWtIMb3ZEqVQIIAGYClm0OxCBFDsAT548SRcvXuxrt9hiLX2b5d7OWrHhdoSsra2JWMb1w7KN4k25b7u9i7nUj6bsAEyNoRXNuE9EoH3eGCbVTLHbJ/cdgKk143Yb5GAD2udN0XWYa6RjZzEmcLgQO+6ktFHEyPd57/VjX6OHf/PWwB2A3azo/hxYc12TenzhxCJ2TnbjpPUEoFQ33HV6LIacOFnWpcb4kpMuLWmGNzuiVCoEkABMhSzaFSUAfYuSfo1OTU3R8vIybW9v97Xr3q7OzMzQ1tYWXbp0KThClmxMTk7S0tJSsA+uAtcPyzZOnTpF+/bto4WFBW/MpX7kfgag44FLIvsSyU43Ugw5XCsWcG6RJeE0xwa0f3eo4GIljbez4XST6xmAGuOOhg1onz91cjUTs7aow1wjXZtpjTvcOEnHtkKX/+DtP6ZxavclkPu899aDx+nQ7Wsskq1Si+aGXuiUhfZZkHUK1UEzrp9S3XD5HDPucG1INZOb9lM+b2ho35pm+GpHyRQIIAGYAlW06UVg0I2m/T7p7NfoyMgIbW5uem0WBQ4fPtz5fHavm4brZCPUb+dbaJ3Q8ho2NOJXfD7sPlGx/oZ50CcDZfFZI64aNjS4o2HDoi5d/Ard1OEW4NB5RiOuGjascie0X6HlNbCV2KjLXCOZZzTGdA0b3XE9t/M91ue9d2iE9pN/XbpFw/TdoW+ShDuhGggtr4GtxEZdNON8k+gmNE7gjl9nxVrYIrYa8bOoGfZDOwomQQAJwCSwolEfAoOSKsWBtHV/26LxRgc7OXxM+/Tv3Led7o3q9PQ0ueSf+1lPABaLTHdZQErNODtcDC2/MdbQpYYNa9p3nxIVuslNMxq7LDRsWNalxviiocsQG3Wba7ovC2jqzvEzO68O3AHYvSJ578HfpUdvX6N9A84DdDsA/9NT/zb5lym5aL9umtFan4WMO1IuWFtz4KsR/pdvFp9p+E9vKJkCASQAU6CKNr0IcB4QfVvnyzjfDTa8oercHMo5J0TjLBItG92ocLjqRzG+BKcfKfnsPOBywfKZMbmd55Iy5tx4O13mrBmtcSf1eVGWdakxvljTfu66kfItZNxJrZnd2p/ZWaSnaJE1obeHxzu3A08tvd63vDsz8NjzF5KfTyuNhYYuQ2xAM3tTydrYJuWbZe2zRP/bQtb8sLg+C8ETZctHAAnA8jFFiwwEOMkMjduQYMMfLO6twbE3unFuI9OyYXGyrFozDhMuFyzfGpfTTYsat8VydZmzZrTGHelNqznoUmN8sab9Ypd5oR3OGO+fseNLcPqReu3EHXdSa2a39kd2NmmWfkRH6H0v0O7z3q1v/dp7a/D+0XFK7YflOTlE+9DM3rSzNrZJ+cady3KZk7X8sLg+8w6gKJAUASQAk8KLxvshwFlgurrdn5ysr6/T2NhYZzdasZ055u2vuw0JNvwcLd4s+mLhWoqNhxUbFifLqjXjMOFyQcoDDRuFD9B+udrPWTO5jG2WddlE7e9WIHeM9ys3rgS3H775Wso37jxTlS5dEnCaLtMMLQ78vNftAGx9e4nubKzSyo9f6twOPLrdpo3hFn302adp4pmXySX/NPyQxkJDlyE2oJm9tZ3busY3tmhoJicbFtdncbMUascigARgLIKoL0KAu8D0Ne77/K1f/eI2JF/77u+w8STt/uyiH265YGVxsqxaMw4Trm6kPNCwwfUB2ufHu+4PZU2ZByzrsonaz103Ur7VZYz2fQ5cfN5rYXyRxkJDlyE2oJm92VQXzfi0AD98CH369xCsLD7T8D1FyRQIIAGYAlW06UWgrGTGxsYGzc3NBd0C7G6BOnPmDI2Ojnr76QrARvOwsjhZamjGaWN7e7tzIPnuX4huBmlGw0Y/YYf4AO2HjZM5ayYXLlStS2h/8JKjrDGetbAZUKisfuS+dhr0OfDK0CFq/ekCjT78CCscqbHKRfu5JwBT8yCXuQx+1H99xhoYUSgZAkgAJoMWDQ9CoKwFpvStZsibE9jADsCjR4926Hzjxg06cuRIJeKuWjPOaa5upJrRsMH1wfVF6kcTbeSeAMyBC1IfNHSpYcOaLnNPZkj5Zi1Og/woPgc+Sb+kMfqY1ukhukKfp0V6jJ546g/MfD0hjYWGLkNsQDN7Lz/rpJlBC2j4wX+8CMHK4vqM7ylKpkAACcAUqKJNLwJlJTOk55r0Oy+j3W5Tq9VKes5gXW10n8mxlw8u6LHx0LDhJeeuAmVxNdRuqoWuNEauP3udzVQmnzVsQPt8JnZjxa9FlJtm6jK2+cZPaP8A7XX2b5ljmFQzjmO56UbKN+48k4suNfyQxkJjTu62ETLPQDOfopXbusY3l2lopi426qqZ0H6jfLkIIAFYLp5ojYlAWQvdmJvTNG7QzMWG1Rv5mHTrFCtuSQupk+MCU6qZAkMOF6Q3wGnYyOm2PK3xpemacf5LdWPpVkPLusxN+6GawVzzKWKWNKN1S2fq8aUO2nfzWeivrGeJULu7y5fVjxgeaK0HmnoDeAhHtMawOmsmBE+ULR8BJADLxxQtMhAoa7KUvtUs3pb5PotwW6yvXLlCa2trDK/uL5KTDXfz8sWLF/tiUGxFj4mHho1i90dIMMviaojNvcqW1Q9pjFyfHKc5cZJqRsNGTrp0fNYYw0K5WxZXQ+2meihz7Up1w9WMu2gptQ3LusxN+xLu5qab1HzW0EwuNuqgfazP4uYZrfVA6jUHZ42Ziy5j/aizZiRzJOqUhwASgOVhiZYCEChroeubiPp1iZuw4jy8NcGGb/HITaoMwkrDBvc24+5+lsXVAHnsWbSsfkg14zrFSYjHaEbDBrTPZ2Ldz5gpSzMOMaluuJrhPLzFjp++B6tBzOD6YdmGpvb5Kvu0ZJl8ldgv6pTVjxw0o6FLDRuWdVnM+1ifxc0znGRSzPpMa/zUeBbIxUadNRMzR6FuPAJIAMZjiBYECJS1wBy0Fb1ftyYmJui5556jy5cvD9zVVtQ/deoUXbt2jW7evMn2VMPG4cOH6fjx43T16lXWDkWJH4WNS5cueX13C4sTJ04EYxViwy1AHnvsMXrjjTdoZWXF26eigIvH7Owsuc95Qn9lcTXU7u7yZfVDohnXl5A4SbimYUNDlxo2NLQPzdyvQIluQjQjHdtCbFjVZU7al84zDoOyxvg6zzUhfLa85gjxo+nax1zzqWIl80wua44QzTRd+zloJnaeQv04BJAAjMMPtYUIlLnQLQ6LXVhYoO3t7b49cmcyzMzMiBJIxcT0zjvvmLDxxBNPBCfauh+yOH5YtdG92OHGfHp6WpT8y/GhzPnUfcCy7/N2pxsJF7iacf2JXcxx+Azt331hwMUKmumdSkLmGolmQsc2iY2Q5DG0r6eZ3Ocazlwt4bPGukZDlxo2LGrf7UzEXNP7smlxcZE4mtFY11jVZVO172Keg2aE6QNUKwkBJABLAhLNhCFQZgKwsOz73KTYvu4r188TV9/9OGfhpbbh68egaHD9sGyDG0vpJ4zd+KXgapha7pZO1Q8fVzl8qYNm3KcSPl/r4IeGLiWflUAznyIQqxkOV+tgw8dV7jheB13GaiblGB8636SYa3xjbwyfnX+c+pwyg7iWiy41/OBqP5Sbu8un4KqkTyn6wdEMJ5ax46cvlnjeuIuA1vgSO9ek4KpEM6hTLQJIAFaLf2OtpxiAODdTuU9AYw6mPn36NM3Pz+/5+Wn3luzUNi5cuMD67HcvgrndVhw/LNsozhzkxjxGaCm4KulPqn5wMJRygcu1XHSp4Yc0Fo5zIfGQcLSok4qroX1K1Y/UmnFnguVggzPPaGhGy0YoP5uUzEjJ55CxTTp+hqw5YIO3xpQcyQLN3EUAzxufMoG7rslFl7G6SbUuip3/UF8XASQAdfGGtd8ikGoA6v60cX19ncbGxjq3lnZvlz5//jzt7OwEx8J9DuWuXLdgQ+qDc5rrh2UbhQ/OH048goPdVSEVV0P7lLIfPgylXOByzWEBG7zxRYpTiPZDudmkh7LC19Sa4YxtUi6EjJ+xNnw45aR96GYwAj4uSLkWMrZJbWhqpknah2biNKMxfko1o6FLDRvWtJ+LZmL9QP04BJAAjMMPtYUIpExm+LoUszuPe+V6ahvS9h02xZvsVDhp2OD64POR8/cqudrdvyr7IeVbSJxg4wBxxhcpTiG65OhiUJkquQrN+KMHXfoxKkqEYMVvde+STdeNxtgmtRHCA9jgzWWxenH1m64Zh0FqvknbD1lzWLZhTfuxurGimVg/UD8OASQA4/BDbSECVQ5AvnM1+rkUcp5cahvS9p1vXD8s2+D6IKTnfdWq5KqVZIaUCyFxgo0niXO2ixSnEO3H6gaaoajzJjk8cDGSciFUl++8/ROapl/QSfoVtWid2jRGV+hztEhfoM2hkT3pEmpj0Nm6dZiTYzWDZIaczyFjm5ZmcuCzBlaxusFcI9cNd4yW8kBDlxo2uDhpzcm5aCbWD9SPQwAJwDj8UFuIQJWT9sbGBs3NzdHm5ia79yMjI3TmzBkaHR1l1UltY1D7rq/uNuStra2evob4UbWNfkCH+MAKlqdQlVy1kgBMzWfnJ2zwxhcNXcbqBprJiM8f3aL2D2ZoYudmDy3epYM0T1/tSQKGjtG5aB+6iUNAY2zLhWu5+BHHGOwA1Fg7Va1LjWeasp43NHSZi2Zi/UD9OASQAIzDD7WFCFT5gCh9m2XpLZDUB423ZRo2QmIhpOi9alVy1UoCUMq3kDjBBnYAxmp1d/0qtZsLn5deO01TS6/3Dc3b9GVaGHq85+9N1H4sf6vkq4W5RqoZa2sOqR/QTLiCmq4Zh1hqvknb19Clhg1rugxXyf01rGgm1g/Uj0MACcA4/FBbiECVA5D0rInuW+AWFxfpypUr1G63qdVq9Vw0ktqGtH0XLq4flm2EnMkhpCgSgF3ASbnA5ZozBRt3z03qPih/r/FFilO39mM14atf5fhuIZFRBp9dG6m40D1+3tlYpffefInGl9+ih7bX6OPhA7Q6+TQdfvZl2j86Tu3zU9TaXu0b8i0aogV6vOdz4Ny07+N8GX9vum7KGNtUNHPnDg1aA0r9uE+XmdgoQxeD2mi6ZsqYa1JpJsfnjVRYNfGZJvXYgPYHI4AEIBhSCQJVTtrSG63cTVBnz56l+fl5WllZ6cFtYmKCZmdnyV3RntrGK6+8IrrJ2HWa64dlG923cqUmcJVctZLMSM1nDc3kYiNWl+4m89Q/aKacW619c42UC/du595YpbW5GXrkznIPJW7tn6QDZxbogT8/RsO046XM7s+BufNMHXSpoRkHcNN1I51nNNY13TfaJ9flnTvedWa09hVseAeNEgo0XTMOQqluuGO0lGsautSwoan9EiThbcKKZrwdRYGkCCABmBReNN4PgSoHoJi3sydPnqRBhzsXW8VT23C7D9fW1kQEc2+aOH5YttHEt2XQzN505/LZXayQWpcaNmJ1yblpWDSwdFWqkqtWkuYxXHMx8n125eYaKReK8dP3ee/1Y1+jh3/z1sAdgN14d38OnJMuNTSDBKB8F7jDjsu3WM1o6DIXG7HzCKc+5hq5blJrRkOXGjaK+VJDlxzOx5axoplYP1A/DgEkAOPwQ20hAlUOQL5BvJ9LU1NTtLy83Llgo9/PvSmamZnpXMBx6dKlYHS4NiYnJ2lpaSm4fVchBxshZ3KIQEIy4z7YUmqmWMC5RZaE01w+a+hSw0aM9rV0U+X4biUBKNXMqVOnaN++fbSwsOCda6RccJpxL5BmV/8ljVO77xDpPu+99eBxOnT7GmsYXaUWzQ290CnL0WUdtK+lGSQA5WeZcfnm1mdSzWjoUsNGoX3fC+QYrKCZG3TkyBHWmFlGIelcwxmjY3igoUsNGxq6bKJmyuA+2pAjgASgHDvUjECgygdEd4ZDv084+rnkbqEKuTX48OHDnU90b97svTmxLBuhfXJ2Q+uEltew0f2pdQQF2VWr5KqVZIaGZjS4o6FLDRsSXWrqBpq5e35f6DyjzZ1zO99jfd57h0ZoP216x8wtGqbvDn0zeJ6xqn1NzSABKNPM/8/e+4bodZz5gk+31I1ntt2v2ntjS2q508IMhARfdHEc3DFq2yzzwQzMLGv74glzJc8EBgwzcgYGBAaFoASvPgwJkT8YLuReWezNNdiBxVzwh1mw0lpvX5x4V2AS5oMZdSS3ZCuL+497Zk23unupVz7Sq377vPXUU6ee85w6vxf0RV1VTz2/5/erqvOcOlVWuRM6Rmtr3yvmLwuE+gHNEF29qpsAlMw1oXENLa+hSw0bGrpsq2a4YxDKpUEACcA0uKJVDwJ1PyAWB7mm3GWh8dZI420u5y2hC7fbwaWxi2tmZqZ7zqLWr26uFn7W3Q8NzThfOXyLeSutoUsNGyHadzsTNXVTN1ebqJk6do+e2P7ZwB2AvWPstXv+iB744iPaM+A8QLcD8O3DPxTt5LWmfW3NIAF4i23ceUZzzZH6i446tB+yfuLOydDMg11YtROAIbqJWTuFrDmkO205XMtN+5prM0vzTMgYhLLVI4AEYPWYokUGAlYeEH1b56s4ZykHG5wzAzXOP3M2tH9WuGqlHyn5XCzsOHzDWU63bg3mxENbN1a4aqUf3BjFnBso0czs9jw9RfOsIXVleKJ7O/D0ws9Ly7szA99e/prZ82lDznLS1oylBzMLurGiGa11jbb2WaL/shD3rDhopr4EYBFPjm6sr504c1kuumyzZkLGIJStHgEkAKvHFC0yELCwwCzemuFGt8EB494UpnWbI4NelRaxwlUr/Rj0uUnxKYPlW+M0b3RLiVWIH5o7ZpHI6B9+ODzQGD936nJke4OO0Zt0iD7xjpnu897Nv/9n763BZ378qtkb6i1rBrq5m4JWNKOhSw0bGnOy9jwDzcjmGikXQsbPGBsnT5703oKtoRktG97Jt+ICVp4lKnYLzQUigARgIGAoXg0Clgag4pMT91ZsdXWVxsfHu7fkFtuyY97MFrcH5mDD54NjRixWHBvVMJDfihWuWulHkTifn5/v3kJapWZc28UuHR8XYrmW0o/eW6ot+MFnezUlrXDVSj84XNMYP3fTjEsCztAHNEvzAz/vdTsAO99foPW1JVr8xcvd24HHtlZobbhDn331aZp85hUaHZsQzwHWtF+NEsJascJXK/3wjZ0amsnFhnS+DNFlGNurKW2Fq1b6wZlrpFzQXNe0SfvVKIHfiiWu8nuNklUjgARg1YiiPRYCTRqAfFvqyxwOudUJNp6kOrbCc8hqhatW+sHBTMpn1zZXN1Ib3PZdX3KxwYlZlWWscNVKP7jYpubboPZ9nwO7z3sPH3/N64rUB2va9zqaoIAVvlrpBwdiKd/aNg9IcQrRJSdeVZexwlUr/eDgK+VC2zSjtQbkxKzKMk3iapV+o627EUACEIyoBYEmDUBra2t09uzZoFuA3Y1ZJ06coLGxMRa+sMHHigVohYWscNVKPzjQDuKz08bW1ha5g9V3/kJ0A81AMz4uNkkzzpfUnB7U/h/u3aY/33iDDlH/zfWLQweo87dzNHbf/T7IB/rQJO17HU1QwApfrfSDA3FqzWjoUsOGxpzMiVfVZaxw1Uo/OPhCM/y1kwZWnJhVWaZJXK3Sb7SFBCA4YACBJg1AeFvG352ngZU2fa1w1Uo/OPhLeeDa5r5lltrgtu/6kosNTsyqLGOFq1b6wcU2Nd987RefAx+h39A4fU6rdC9dom/QPD1Cjz/1x6xd2j4bg7DgalNqg9s+N15Vl7PCVyv94OCrwYUcbEh9CJmTOfGquowVrlrpBwdfKRdCxk/Y4D83cWJWZZkmcbVKv9EWEoDggAEEmjQAVXFehg9y2Lh1o6nFnxWuWukHJ0ZSPru2e8+ZGWRLaoPbvrOdiw1OzKosY4WrVvrBxTY136Tta+hSw0aI9rkxq7KcFb5a6QcHWymnQ7iQgw2pDyG65MSr6jJWuGqlHxx8pVxom2a01oCcmFVZpklcrdJvtIUEIDhgAIEmDUCnT58W3WpY3Jjl4O490HZlZYU6nc5dF400wYbPB+dnFX4YoOddXbDCVSv94MRHygPXdu9Nc8VFI03VjJb2OTHRLGOFq1b6wcVeqpvUmtHQpYaN3jmZGxPNclb4aqUfHOxTa6aKdY3G2slnQ4pTry458dAuY4WrVvrBwV/KBc1nGh+fm6JLTjy0yzSJq9rYtMkezgBsU7QN+dqkASj2bZmbyM6fP0+Li4t9EZicnKRjx47Ra6+9RsvLy8ER6r0xNaWNF1980evD6Oioyo6pYJAiK1jhqpV+cOCUasa17TjN4Zt1zbgdrRra58RDu4wVrlrpBxd/qW5Sa0ZDlxo2QnawcGNWZTkrfLXSDw62qTUTu67hzGUaNqTzZaFLfKExmI1t0YzGusaKZmJ1Cc1wRnCUqQsBJADrQr7ldps0WcaeZeGr787VcL8LFy4Es6I4kyO1DV//uP0oczDkbJFgkCIrWOGqlX5w4PTxcVAbHD1wyvi45utjU2xw4qFdxgpXrfSDi7+Pk4M4zRmjfWXq1KWzzdEcp4xP+9x4aJezwlcr/eDgn1ozTzzxRNRZsD7NVbF24tjwlfFp3+Fg8WeFq1b6wYlRjGY4eogdo31c1dIMx9cmzjVN4iqHzygjQwAJQBluqBWJQJMGoEG7eMpgcDv7nn/+efrggw9obm6ue+tp2c9tq3/88cfpo48+ouvX+29gLKt38OBBeuihh+jDDz/07h6MtfHee+8N9MH10e2uePjhh4P9KHZBurdtFn9WuGqlH5wYSTTj2i047eOblM8autSy4XYOQzOD2dgkzThPJLpJrRkNXWrYsD7POAys8NVKP1LNNSGamZ2dpUceeYTeeIhXATQAACAASURBVOONXb/i8K3POHOZhg3JGtP5Zl03VrhqpR+pNdP05w0N7UMzHBaiTN0IIAFYdwRaar9Jk2XxYObOI+Ps0nNvp2IWjBcvXvSy4ujRo8GJtt6HLCs2HFYzMzNmExl4KPNSsbRAcYYLRzPS5HGxmOPwWUOXWjagGR4vmzbPhM41knkg5MWR60+MDY4utbRvXTOYa3ia3q1UyFwj4XPvSx3OfGbVRqj2sT7jc7Jpc01qzVh83tDQJTTD1wxK1osAEoD14t9a602bLItA+c6bKc4Yitlif+nSpYE7+pyNI0eOsJKRuxHMTVBWbFg9I6MXNytctdKP0EHLimYc11LrUstGaAy0y1vhqpV+SPDn6EY6DxSfUKW2wZlnoJk77LDCVyv9CNVNaj67TwLbZAPrMz4DoZndsbL0vKExX0IzfM2gZL0IIAFYL/6ttd7UydKXQOA+WJUFnpPc40yog4hlyYbVc2WQAKxuaLKiGc7DW6wutWxUF500LVkZ3630Q4IyRze+BNsgPnMSbzFzDXeegWaQAJToY7c6OWhGQ5dcG1if8ZnZ1LkmpWYcetx5QDqXadjgbuywfJa5xWcavrpQMgUCSACmQBVtehFo6mTJudXTnct1+vRp2t7e9uKws4A72+zkyZPeG3fPnDkjat/Zs2TD6hlmFidLaGZ3OXH5rKFLLRvBA4tyBStctdIPCfycuUY6DzjNnDp1inVLdYwNzlwGzSABKNHHbnVy0IyGLrk2sD7jM7Opc01KzVh73oiZy6AZvhZQshkIIAHYjDhl18umTpYuEMXZGe6N1erqKo2Pj3c/ye09Y8j3mUhZQIs3TT4b0vaLt2XuDbAFG00gthWuWumHJGY+rrk2pZzmaiYnG5IYaNaxwlUr/ZBi79NNrGY481msDZ8PWrqUxkCznhW+WumHBHsf32L5rKEZKzYk+GvXscJVK/2Q4J9KM9aeNzS0L8Ffu06TuaqNVc72kADMObqGfVtYWKDDhw93e/j+++/TgQMHDPc2vGvuwhD3L/Tnkojun+8nbd+1a8mGz08Lf3c3M3/rW9/qduXy5cs0PT1dS7egmd1h5/LZ1ZbqxpqNWggYYBSaCQAromgufNbwIwJmtarQTXqoNbiWi4300Yi3AM3EY+hrQcpna88bUj9C1n8+LC383YpmLGDR5j4gAdjm6Nfo+69+9avbSZUauwHTQCAIAZesfvTRR4PqVFUYmqkKSbSjiQA0o4k2bOWCAHSTSyThhxYC0IwW0rCTCwJ1aiYXDJvqBxKATY1cw/uNZEbDA9jS7tc5WUIzLSVdw92GZhoeQHS/FgSgm1pgh9EGIwDNNDh46HotCNSpmVochtHbCCABCDLUgsAXX3xBH374Ydf2V77yFdq7d28t/YBRIOBD4ObNm/T73/++W+zhhx+me+65x1clyd+hmSSwotEECEAzCUBFk9kjAN1kH2I4WDEC0EzFgKK57BGwopnsgTbuIBKAxgOE7gEBIAAEgAAQAAJAAAgAASAABIAAEAACQAAIAIEYBJAAjEEPdYEAEAACQAAIAAEgAASAABAAAkAACAABIAAEgIBxBJAANB4gdA8IAAEgAASAABAAAkAACAABIAAEgAAQAAJAAAjEIIAEYAx6qAsEgAAQAAJAAAgAASAABIAAEAACQAAIAAEgAASMI4AEoPEAoXtAAAgAASAABIAAEAACQAAIAAEgAASAABAAAkAgBgEkAGPQQ10gAASAABAAAkAACAABIAAEgAAQAAJAAAgAASBgHAEkAI0HCN0DAkAACAABIAAEgAAQAAJAAAgAASAABIAAEAACMQggARiDHuoCASAABIAAEAACQAAIAAEgAASAABAAAkAACAAB4wggAWg8QOgeEAACQAAIAAEgAASAABAAAkAACAABIAAEgAAQiEEACcAY9FAXCAABIAAEgAAQAAJAAAgAASAABIAAEAACQAAIGEcACUDjAUL3gAAQAAJAAAgAASAABIAAEAACQAAIAAEgAASAQAwCSADGoIe6QAAIAAEgAASAABAAAkAACAABIAAEgAAQAAJAwDgCSAAaDxC6BwSAABAAAkAACAABIAAEgAAQAAJAAAgAASAABGIQQAIwBj3UBQJAAAgAASAABIAAEAACQAAIAAEgAASAABAAAsYRQALQeIBy7d4XX3xBH374Yde9r3zlK7R3795cXYVfDUfg5s2b9Pvf/77rxcMPP0z33HNPLR5BM7XADqMCBKAZAWio0noEoJvWUwAABCIAzQQChuKtR8CKZlofiJoBQAKw5gC01fyvfvUr+ta3vtVW9+F3QxF4//336dFHH62l99BMLbDDaCQC0EwkgKjeSgSgm1aGHU5HIADNRICHqq1EoE7NtBJwQ04jAWgoGG3qCpIZbYp2Pr7WOVlCM/nwqE2eQDNtijZ8rQoB6KYqJNFOWxCAZtoSafhZFQJ1aqYqH9CODAEkAGW4oVYkAgsLC3T48OFuK24AOnDgQGSL6aqvr6/TW2+9RZ988kmfkZGREdrY2Oj7//3799Ozzz5Lo6OjrI7BBh8rFqAVFrp+/frt3aqXL1+m6enpClvnN5WLZpw2tre36dNPP43SDTQDzfjU0yTNOF9Sc3pQ+xq61LBR1Zzs41aKv2OuCUc1tWa6uvyXZVr9T8/Sv9lY7Ovgdbqf3qI/oQ26+xgba2tADe2HRy++BjQTjqGKZvDcxH7+C49gXA0rmonzArVjEUACMBZB1Bch8PHHH9ODDz7YrXv16lU6dOiQqB2NSr/85S/pwoULwaaefPJJeuKJJ1j1YIOPFQvQCgtZ4aqVfnCglfLZtc3VjdQGt33Xl1xscGJWZRkrXLXSDy62qfkmbV9Dlxo2QrTPjVmV5azw1Uo/ONhKOR3ChYVzL9L0ws9Lu/MufZvmhh7r+3uIjdR+SNsP0SUnXlWXscJVK/3g4CvlgiU+Y33GifTuZZrEVbmXqOlDAAlAH0L4exIELA1A7m3Y/Pw8Xbp0iVZWVqjT6dCRI0doZmam+wbnpz/9KS0vLwfjsG/fPnrppZe69XKw4fPB+RmLFcdGcCAiK1jhqpV+pOSza7vQjY8LsVxL6Yc17UdKILi6Fa5a6QeHaxrjp1QzGrrUsBGiy2DSV1DBCl+t9MM3B1SimbUluvbWyzRx5R26d2uZPh/eR0tTT9PBZ1+h0bGJblRXTk9TZ2upNMKbNERz9BjN0zdpY2jkdjnuXFaJH4nWsSG6rEACwU1Y4aqVfnDmGuk8EDJ+xtpQ0b5HMxq6DCZ8BRUscbUCd9CEEAEkAIXAoVocAlYGIDfJnD9/nhYX+z/tmJycpGPHjtGZM2e6nyyG/oaHh+nUqVPd5F/TbZw8edLrg0uWnj59WowV10ZoHGLLW+GqlX6k5LOLldMNhwvQJX984R5FEKuVor4VrlrpB0czGuOnVDMautSwETIna2vG+W+Frxb6oaKZv/sbWj47S/evX+kb+m6MTtG+E3PdJODWD/bRMPnXgB/TfjpPz91OAnLnsly0D83U/1UTRzfSeSBk/IyxwVn/aWhGy0ZV6y5uOxbGd25fUS4dAkgApsMWLQ9AwMoA5NsK77a8u52BMTsAc7DhdkQO+gy6+DQg5q0f14a2sKxw1Uo/UvLZxda9ZeZwAbq8tcOYEw/uUQRVacsKV630gxuj1OOnVDMautSwUexg4cajKj1w27HCVwv94MYoRjN/1vmngZ/2Xj78HTp8/DXvDsDe+PZ+Dsydy9z4HONHyvkyRJfa8wyS5v0jC0c30nkgZPyMscHhs4ZmtGxw54eqylkY36vyBe3IEUACUI4dakYgUPcAVGwvn5ubo62trVJP3BuvqakpcofJh/6OHj1Ke/bsoZQ23IUULjnpS1DG+OFsXLlyZSBOxSLRLRAkWHFsOB9mZ2dvf5odGg9p+bq5WvS77n5oaMb5yuWCZV1a0762burmahM142K0ublJFy9eDB6qUmtGQ5caNkJ0qa0ZJDNu0Z47z1Sx5vjTy6doglZK9eY+7b06/ee0vblOh6++xdLlEnXo7NB3u2W5usxF+9BMfTsAubqJfRZo2/NG6jm5zZphDagolAwBJACTQYuGByFQ5wPioC3yZX0uu1mwrPzBgwe7n8K625a4v1AboeVdP0LrhJbXsFF8mq31uUmdXO3lTp390NCMBnc0dKlhQ6JLTd3UydUma8Yqd0L5FlreqvY1NYME4K3kX9lxKYPWUaF8K8qf2v4J69PeGyMPdtdzD9z82Luc26Rh+tHQ94LXWrloH5rRv9hQohupZrwC6CmQgw0NXbZVMyFcQtnqEUACsHpM0SIDgTofEH1b5Mu637a3udIdViFvvqU2Qm4jY9BxYJE6uWolmZFSM85Ht3NUY/eoxtvc1DakmnE4a+kGmpHfIB2yS03KhTbuHJfqUkszSADKNSNdc5zY/tnAHYC98+/lqeeI9ozQ1OX/SnsGnAfodgC+ffiHoi8hctE+NHOVDh06FLv0ZNdPuT6L2TEo1SXb8S8Lcp/NpPOlhi7bqJnQOKN8tQggAVgtnmiNiUCdD4ipz1rRODdCer5GkWzhnLFh2UbvbWRMyomL1clVKwnAHDSjoUsNG7G6LG4mFwuCURGaib8R3fdQ14TzaTnzjIZmYm1oaAYJQLlmpOua2e15eormGSMa0crwBHW+v0AL5170nhv49vLXvMey7GZU64w17tmx0rkG6zPdBGDq9ZmUB1JdsgTZU4h71qbUD01dhvouKW9lfSbpO+pUhwASgNVhiZYCEKhzANK4qTa1DekNWy5E3JvpLNsobiMLoJy4aJ1ctZIATM1nrdvWcvAjVpfuZvLUP2iGom5Ex+3xPIZy57LY8UVDM0gAyjUjXdeMbG/QMXqTDtEnXsK5T3v3/GCJ1teWvDcHn/nxq91PhkN/Wresao0vof5LymOukeuGO37Grjk4t/patqGpS4kGQutY0Uxov1G+WgSQAKwWT7TGRKDOASjmbZl7c1octuveJq2urtL4+Hj31tKZmRkqzqVLbUPavgtP8TbL54dlG3jD3Jw3zFY047gv5TRXMxo2pD70ap85TIuL1Tm+W0maS+PUO7alGqM1bfh80NBMFTbEYgio2HbdSDUTs65xScAZ+oBmaX7gp73FDkBnyyUBF3/xMt33u3dobGuF1oY79NlXn6bJZ16h0bGJ6Hmma2N9nebn56lsnSnFSlP7AdQXF227ZqoY21JxLUaXIYTgrs+gmVuoWtFMSIxRtnoEkACsHlO0yECgzgHI92lVWfdDzmhIbUPavvON64dlG1wfGFT0FqmTq1aSGVIuhMQJNp4k96mi7yfFKUT7vj74/g7NyM8zg2Z87Lrzd2tY8Xu+e8m260ZjbCuz4fsc+PLh79Dh46+xQiz1wxqfNfxgATqgUNs146BJHSdp+yFrDss2rOkyF83E+oH6cQggARiHH2oLEahz0nZvu15//XW6du1aX+/Lbq1yN0EdP3789g4/n9upbQxq/8CBA93PTz75pP+zlhA/6rZRVSx8sfL9vU6uWkkApuaz8xM2eOOLhi59mvD9HZoBny3Nl1rji08Xvr+3XTcaY1uZDbcT8PjQWzS5fb0vTJ+OTNHES3Pd3X2cH+Yy3lzGwdJXpu2a0Rjb6tSl80/jmaaq5w0N7fs04fu7Fc34+om/p0UACcC0+KL1EgTqHIDcAH3u3Dm6fr1/obd37166efNmX6/dBPTCCy8EJQBT2hjkw/79+7sJwE8//TTKj7ptVBWLWBHWyVVLCcCUfC4WsbAx6qWrhi69nfAUgGZuJQDBZz+fc9I+dBOHgMbYNsjGH+zZokdvvk9H6Dc0Tp/TKt1Ll+gbdHn/n9Bf/NVfm1n/QTN3eIa5Jv1cU7cuNZ5pqnre0Jj340ZZfAIci18u9ZEAzCWSDfOjzklbutXc0jZwqQ+OJlw/LNvg+lCFLOrkqpUEoJQLIXGCDXwCXIVeoRk/itClH6OiRAhW/FZ3L9n2uUY6B2isa0J4IPWjjTagmVgE8AkwVze56DKWMVbmmVg/UD8OASQA4/BDbSECqQag3sNsV1ZWqNPpJL2goy4b0sNsXbh2OzB3Nz8s2yg7yLosHkKadqul4mpon1L2w6cbKRe4XHNYwMY+2nlhSl26DOXmzvIpuRrSt5T9SK0Z52cONnw+5KT9EG7uVjYlX0P6lqofPi5I5wCNdU3ImkPqR242fPEO4WRZ2VRcDe1bqn5wMIzlm8+GtH0NXWrYsKbLUG5aXZ/F+oH6cQggARiHH2oLEUgxWbpJ7Pz587S4uNjXq8nJSTp27Fj3E47Tp093P5EN/bmr4DnX2WvYOHPmjMgH5zPXD8s2nA+nTp3qPiBzYh4a697yKbgq6U+qfnAwlHKByzUNzeRiQxqLEO0Xt5lLeOrqpOJqaH9S9SO1Zrhjm5QLIeNnjA0r86WW9kP5afXBLIVuUmomZGyL4XMuutTwg6t9aKYcAY5mNMY2qWY0dKlhQ2u+5Ooyl/VZrPZRPw4BJADj8ENtIQIpFpi+7d3FNnHp2yz3FujIkSN04cKFUq+1bFy6dImWl5dF6HP9sGyjeCPHjbkIqC8rpeCqpD+p+sHBUMoFLtfc7bc56FLDD2ksHOdC4iHhaFEnFVdD+5SqH6k143aC5mDDynypoUvODd4+/qbiq8+uRiIyJZ9Dxjbp+Bmy5oAN/lo5lJsaXJX0KYV2OZrRGNukfNbQpYYNa9qPnWtScFWiGdSpFwEkAOvFv7XWqxyAiu3rc3NztLW1VYqpe4szOztLm5ubdPHixWDsp6en6cqVKyZsTE1N0cLCQrAPrgLXD8s2jh49Snv27CFuzGdmZtgHeLdhgdn7yYcvkex0I+UCh2vFAs4tsiSc5tiA9m+xOgQraKZ/eA2Za6SaCRnbpDYcD5zuoX3/FKqlGdeTKtdFfs/KS1TZDw3NhIxtUs1o6FLDhjXtu5cEmGvu1mKIZjSeaaSa0dClhg0NXYbYcDHPQTMxcxTqxiOABGA8hmhBgEBVC8xBW+TLunXw4MHu57O73QJcVqfsivg6bYT2yfU1tE5oeQ0bkvj1fgIeStequBpqN1UiUqIZjbhq2JBwJ1QDGjZC+yTBFprpfygrO24A88bdCGjwM9SGhi5jNJNjAlAy14TGVTK2hdrQ4I6GjVC/NbB1NmJ0g/UZUZu5E8rp0PIa2Eps5KCZ2Gci1I9DAAnAOPxQW4hAVZO2b4t8WfdC3rZI335p2LD2NtfyLi7uTWGpEm9CqdyuVrdmXEe4u2GkmtGwoaFLDRsa2odm7qhWOtdwNYOdHOnHFw1dSjWTYwIwpWYcXm69YXnNAe3zVz1S3VS1LuL3dPeSVfVDqhmNsU1jzcHRDLR/i4NN10ys5lA/DgEkAOPwQ20hAlVNljHnhuVyzpKGH7mc5eSwCv1VxdVQu6kSkVLNFIsuDhcsnxlj7TwXKVaafoRyNzfNOP+lugk5dzG1DSnXoH2+AnpvjOTXulUyN92k5rPG+We52GiC9rE+i5tnNJ4FNGxw1pi56DLWjyZrJnR+RPlqEUACsFo80RoTgaoWujE3+nJvXJLegGXt5qgYP7g3usXEQ8OGi3noryquhtpNlQCUxsj1h3urr5RrGjZy0qXWGBbK3dw04/yX6oarGdzmmH580dR+qGZyTADmoBkNXWrYsDwnF/M+1mdx84zWeoBzO7GUb5bmSw1dxtposmYkcyTqVIcAEoDVYYmWAhCo6gEx5g1z8eak90KE1dVVGh8f7972WxyyChv7yGHlwyl2l4yWjQCaYlfGDrCK3S0+Lkg148ylttG7QyeVHznaCNFNVeN7iM3dylbZDymnuXzWGD+lPmjoUsOGti5D+VslX0Nt95avqh9SvlnSjIYuNWxIY6Ghy14bobytiquhdneWr6of0jhpj22p106+9jU00xQbodytiquhdlHeFgJIANqKR2t6U9UAJD0vI+TsBNh4krjXzueCVYqHoVhx160Z13+ubqQ80LDB9cH1RepHG23krJlcuOD4/N67/0gz9Gs6Qr+lDq3SCo3TJfo6zdM3aWNopHSY4nJaqpk2aj9VEqHpcw2Xa7noUsMPy7oM0T40s7u6oRn+qNdGrCyuz/gRQ8kUCCABmAJVtOlFoKpkxtraGp09e5Y2Nja8NosC7haoEydO0NjYGKsObLQPK4uTpYZmnDa2trZoc3OzTxshuhmkGQ0bZcIO8cG1Ae3ztZ+zZnLhwtpnN2jl1Vma3L7eJ5HFoQP0vw3/e/piaw+0r6T93JMZGD/542dqrOqek6ua96GZ/tUN1jV4/mM9zH5ZqKpniRCbKGsPASQA7cWkFT2qagCSvtVs4xsgYMXfyZhzMkPKA4cJVzeWbXB9cP5K/WijjZw1kwsXFs69SNMLPy9dY7xL36a5ocd2/TuX01LNaIwvXB+04p17MkPKBWtxysEPqQ8augyxAc3sPnxDM/xH5zZiZXF9xo8YSqZAAAnAFKiiTS8C3ARg7zkQKysr1Ol0kp7PBxv9odvtPJ7dcHI1Y88v8cVby4bFybJuzThMuFyQ8kDDRtlZOdB+nPZz1ozWuCPVzW1dri3Rtbdepokr79C9W8v0+fA+Wpp6mg4++wqNjk3Qyulp6mwtlc7P20S0TJ1dPwmG9r3Lmm6BkPGl6ckM33wdzef1dZqfnyd3g23ua47UWEnb15iTQ2xAM7uPQyHjjpQLmjZ8Y0tj5mQjY5jF9RlvRkWpVAggAZgKWbQ7EAFOMiP1TVO53Jil4YfGDb2WbFicLOvWjMOEe0Ob9AY4DRuaN4HmMIZxdZmzZmJv6uNiGHVr6t/9DS2fnaX716/0zb03Rqdo34k52vsPh2mYXJrP//uY9tN5eu72uYDQvh+zYvzizsmOVznrRjoPcLnWCF2ePEnnz5+nxcXFPgJNTk7SsWPHSMMPaSw05uQQG9DM7uNQTusalfnSiC41tG9VM7wZFaVSIYAEYCpk0W50AtD3yYLbxu3eDC8vLwejXbzJgg0/dA4rdyvyhQsXSgsXW+pj3ixastHUh7KUfHaYcLkg1aWGDWjfr/miBDfeOy8J4iSr+b2Ql+T0g6MZ55/1se3POv808PPey4e/Q/f97p2BOwB3It37STCXC9D+PnI32nN5hbmmX99crjVBl1bWNZZ1GTLv5z7XSOOU07rGimZyGl8szjPylR1qVoEAEoBVoIg2ghHgPJj5Hrg4i8SyjnETVrBx69w336KEu/gYFA9LNixOlnVrxmHC5YJvATdowEhtA9rnD9fcWLiER86a4SR06h7bjvzy+MDk3srwRPdz4EFnAO70YYk6dHbou93/5nIB2r911ixn/ZK7bqRc4HKtCbq0sq6RxsKa9qGZ3WeanNY1VjST0/hicX3GX4miZAoEkABMgSra9CIwKJlRnP0waMdZYeDo0aP00Ucf0fXr/bcalnXCfXbx/PPP0wcffDBwV5t1GwcPHqSHHnqIPvzwQ9YuSAlWhY2LFy96Y+qSgA8//HBwPEJsuEXOI488Qm+88caun9SUdTLUxszMTPezHPfjJN684FRQoE7NuO6HYCjhmoYNaJ8/TobEu3hRUugmN81ojTsxY9uTc//LwM973Ye/Cw8+S394/b/TAzc/Zo1ImzRMPxr6HrTPQosodHxxvGrSXNN7LhfnywvJPBA67uSy5ojRPmd9JomFxpwcaqNpmnH+5fBMg+eN/k/4q3reSK19q5phTqsolggBJAATAYtmByNQ9oA46Mws32D73nvv0dbWVqlhd0bG7OxsVALJio3HH388ONHWu9Di+GHVRu9D1tzcnDfmEj96z+axnsyI0Qwneex0I8GwWDD6uOZ4GZs89tmA9u8kcDlYSeLt4ljo5saNG/Tggw92x+KrV6/SoUOHapkSq5xntMad4uVU6Nh2YvtnNEErXpxvjDxI/7L/Mbpv8f+g8a0lGhpQw+0A/H9mzwXPNdA+/2GxKXONZJ7BmoP/wkVjfAlJ4lie95uimSL5V3YGZFOeaaTrAe48IOWaxviioUstG8V5o1aeabyLFRRIigASgEnhReNlCJQNQL5zc8rac2843I9zTl0ONny+DmIeFyvLNorPHXyx5Pg6iFPuUy4rk2UKzTj/UmPo4xE3ltD+rc8wfXha0L7bmWw5AejjvG9M8NWPiRNXDzttzG7P01M0z1p0uPMADx9/jRbOveg9N/DK9POsnfI7DXMw4PraBu1bn2t8nLcw7vjGRg4nm6h9lui/LMTVXCxWnFhw1h++eOS8PtPAkGPDVwbav4VArGY4eqjChhXNhIxbKFs9AkgAVo8pWmQgUDYA+c7NKWva7SB68cUXWbet5WDjtddeY332uxteXKws2yjOHOTcsir1o7BhZbJMoRl3xklqDNukS/fZeOrxRcpnNxZoaf+ZZ54xnQCMiZGGZiQ2RrY36Bi9SYfoE+8M7M4D7Hx/gdbXlrw3B7/2s/OiuYbLNQ3NNMGGi7nluUaqGc1xhzPXSMdPzTVH6jlZMr54B5WeAlrat64ZB4lUN1oYptQMtM9Xjeb4YmWe4aODkikQQAIwBapo04tA2QB0+vRp2t52pxWF/dwW8lOnTt0+a8MdIru6ukrj4+PdG2x7z9nJwYbUB4cqFyvLNgofnD+95xLtFnOpH4UNK5NlKs1oYOiLketDbJzaYkOKk6b2//Iv/9J0AlCKoea4I9GlSwLO0Af0JP1fAz/tdWf77fnBUneSdUnAxV+83L0heGxrhdaGO/TZV5+myWdeodGxCehScW1hea6RakZz3OGsAaV+WNc+d8Ws6YfGnGxZM7msa6Sagfa5qrzzXCaZ97lWrD3TcPuNcmkQQAIwDa5o1YNAqt1MHOBj3sjtvIGszF5qG9L2XX+LN00+rCzb4PrgfJT60ZYdgD4eVIEhbPgR4HJaymdN7ee+A9AfzfhxJ8aG7zzAYgdgjA1fXS6fMb7cmZMtNOq1owAAIABJREFUJzOaMO5w1mdSP8Bnn+Lv/F0TK8uayWVsk2pGc80B7fv1ae2Zxt9jlEiJABKAKdFF26UIpDrPjAO59Cyb4uwUCzakPri+c/2wbIPrg/NX6kdhw/oCM9Y/C3yuIk5t8UMab03t534GoHWu+c4DLM4AtO6Hr3+a84CvL1WMYZbnmiaMO+4MLd9P6kduXPPhVAWfNWxY1kxTMPTFSaoZzTUHtO+L4p1nPyua8fcYJVIigARgSnTRdnACcG1tjc6ePUsbGxts9EZGRujEiRM0NjbGqpODjUE+ODzcbcibm5t9eIRgVbeNsmCG+ODaiI23lcmyrB+x/nFEAxt2xpe6dckZX5aXl01/Apw7nwedB7g4dIA6fztHY/fdz5F+9PjJMZJ7PAZh0DufWZ5rmjDucNaA4JqduQzrs91HBu01rm+MhvahGR9H8PfmIYAEYPNilkWPsQNw9zBy3zLjjdyTxHnjV8UbWMsPZVX4xxlQpHzj8hl+5LEzt3jjjx2A8TuPY3VZnAd4hH5D4/Q5rdK9dIm+QfP0CD3+1B+rjZ+xfgyqn9v4Ynmukc4BxZjAma8t28iNa7no0rJmclnXWNalxviSm/ataIYzBqFMOgSQAEyHLVoegECqMwB7Dx1eWVmhTqfTdwmI9DyL3lua5ufnyV00UpcNqQ8uJFw/LNvoPWPGF3OpH9bOy0ilGceJ1Bj62nd9iI1TW2xIcdLUfhvOAPTxTRonzbEN2vcv07jzZRVjmJUHs936IeWz5rhT3G47aH0m9SM3XeaifcuaqWJM8M0zGjakmoH2/fNLUUJzfLGiGT46KJkCASQAU6CKNr0IpLjR9OTJk3T+/HlaXFzssz85OUnHjh2j0dHRqFsNrdg4c+aM6LZkB4y7CYrjh2UbvTcZ+2Iu9cPajVkpNFPcmpgSQw7XctGlhh9SPmtqP/dbgN1DWUrNaOhSwwa0710KdQs0Ya6JvQmUwwXLY5vmmiOH8YUT79j50o1hVpIZKdZnGhhybFjWpca6JjftW9EMb3ZEqVQIIAGYClm0OxCBFLuZjhw5QhcuXCi1W2zjlr7Ncm9orNhwuw/dOVuSH9cPyzaKt2W+TxNczKV+tGUHYGoMrWjGfYIG7fPGMKlmijf+ue8ATK0Zt5MpBxvQPm+GbsJcIx07izGBw4XYcSelDc01B7Tv100TNBO7O4/DZ411jWVdaowvuWkfCUD/+NKGEkgAtiHKBn2s+gzA6elpunLlSvfyi7Kfe4szOzvbvRzj4sWLwahYsjE1NUULCwvBPrgKXD8s2zh69Cjt2bOH5ubmvDGX+pH7LcCOBy6J7EskO91IMeRwrVjAuUWWhNMcG9D+raGCi5U03s6G002uZwBqjDsaNqB9/tTJ1UzM2qIJc40vKTUIUS6GMeNOahsautSwkYv2m6AZpwmpbrh8jhl3uDYs61JjXaOhSw0b1jTDn4VRMgUCSACmQBVtehEoSwAO+vShrFF3Y1bIrcEHDx7sfj57/fp1bz+LAhZthPbJ+RJaJ7S8hg2N+PV+Mm7lbVmdmtGIq4YNDe5o2LCoSxe/Qjc3btwwfQuwZJ7RiKuGDavcCe1XaHkNbCU2mjLXSDSjMaZr2JDE1SI/Q/ukga3ERlM043yT6CY0Thr8DO2TJK4WbWhgq2HDombYD+AomAQBJACTwIpGfQgMSqoUh96m3N2l8bZFw0Yub3O5byI13nY6GzMzM93zIt3PegKwWGS6g89TakbjTauGDQ1datiwpn33uVKhm9w0ozXupN6djp0c6XeOh2i/aXNN74UE2DnuW+Xyd1xrjC+5aL9pmtFan4WMO1IuWFtz4KsR/pdvFp9p/CMoSqREAAnAlOii7VIEOA+Ivq3zVZzvBht+knLPDNQ4i0TLRi8qHK76UYwvwelHSj47D7hcsHxmTG7nuaSMOTfeTpc5a0Zr3JGes8aNk2Vdaowv1rSfu26kfOPyORddavghjYWGLkNsQDO7ryWtjW1SvkH7/GeFEKwsrs/4nqJkCgSQAEyBKtr0IsBJZuRwE5rGTYsaNjg3hcXe6GbJhsXJsm7NOExwg7R3aOsWyOnWOK4uc9ZMLmMbbnMcJo35kmuj2GVeaIczxvNGoLhSnH6kXp9xxx3p7cTcuQzatzXvQzO7a7uNaw5of5i446TF9VncLIXasQggARiLIOqLEOAsMF3DvZ+crK6u0vj4ePcm3mI7c8yOCXfTImz4w1e8WfTFwrUUGw8rNixOlnVrxmHC5YKUBxo2Ch+g/Wq1n7NmchnbLOuyjdrfqUDuGO9XblwJbj9887WUb9x5JhddavghjYWGLkNsQDO7azu3dY1vbNHQTE42LK7P4mYp1I5FAAnAWARRX4QAd4Hpa9z3+VtZ/eI2JF/77u+w8STt/OyiDLdcsLI4WdatGYcJVzdSHoTaeO/df6QZ+jUdod9Sh1ZphcbpEn2d5umbtDE0sitNuT5A+/x4N/2hrC3zgJYuL1y4wIG0rwxXm1I/uO1raT933eQSpxz8kPoQOien1j40s/vQam1sk/INfvCnzhCsLD7T8D1FyRQIIAGYAlW06UWgqmTG2toanT17NugWYHfT1IkTJ2hsbMzbT1cANtqHlcXJUkMzThtbW1vkLiPY+QvRzSDNVGbjsxu08uosTW733+b9Me2n8/RcXxIwxAdoP2yczFkzuXBBRZcD5uTKtJ/JvJ97MgNrJztrp1y0D830P7ZgXbPBepZzhdqKlcX1GTtoKJgEASQAk8CKRn0IVJXMwFum9u3O04i5xcmybs1Y2wmwcO5Fml74eelQ8y59m+aGHuv7e8hbUw2u5WIjZ80433KIk9QHa9qX+mFN+7knM3KJUw5+SH2wpn1oZvclj7WxTco3+OF7er7z9xCsLK7P+J6iZAoEkABMgSra9CJQVTJDeq5J73kZvs7Cxj4qzktsC1YWJ8u6NeMw4epGqpkQGyunp6mztVRKySXq0Nmh7/b9neuDqyj1o402ctZMLlyQ8jlEl5ZtWNNl7skMKResxSkHP6Q+WNM+NLP7kgea8T2d3Pl7G7GyuD7jRwwlUyCABGAKVNGmF4Gqkhkxt0C5m/rcr/ew2ZWVFep0OnddNAIbd25OnJ+fp0uXLtFuODksY7HyxaIKG15y7ihQFVdD7aZa6Epj5PrTe9PcIC5UYmNtia699TJNXHmH7t1aps+H99HS1NN08NlXaHRsgrZ+sI+GabsUVveXCzTTdx5g4QO072dkL1b+0ndK5KaZKsYdjbHNZ6MSXa6vU3LtJ7Khrf0QzbiyuelGyjfuPJOLLjX8kMZCe96HZk7T9nb5uqYMH+2xLdVcA+3zFdD09RnfU5RMgQASgClQRZteBKpa6ErfavbeMnf+/HlaXFzs6/Pk5CQdO3aMXnvtNVpeXvb6tLNATjZefPFF8uE0OjoatWNKwwZ3J2NvLKviajCBEiUipZpx3XGc5sRJqpnbNr57jJbPztL961f6YLsxOkX7TszR//fjfzdwB2BRced5gDnp0vHZLcR92pTGI+RNec6acb5JdcPVjMb4KeWBqvYZc43UD03tS8Z7zDW3ULOkGQ1datiQaiYkHrE2sD6Lm2e01gOp1xycNaaGZppgo8makcyRqFMdAkgAVoclWgpAoKqFbuw5E7767owF95PcbFacz5CDDR8GXF/LKMLBuQob3NuMc05m+Pg4SMbcOPn44rPx1ctvDDzf7/Lh79DQNg0s02uj9zxALo84vg7is+OaD+um2AgY2rtFqxrfQ+3uLF9lP3yxrHts82kuhmuubU59Thmf9lP6oal9CXer5KvEflGnqn7koBnOOA7t88YHn/axPos/a9anuZgxWmv85MwBuegy1o8mayZmjkLdeASQAIzHEC0IEKhqgTnoTVRZt9zOvueff54++OADmpub6956WvZzW6wff/xx+uijj+j69f7bRuu0cfDgQXrooYfoww8/9O5QlPpR2HjvvfcG4uRwcG/tH3744WCsuDacD7Ozs/TII4/QG2+8seuuzUHxcLs53Ru90F9VXA21myqZIdGM60tInCSa6bXx7+ZeoAlaKYVsk4boyoPP0B9e/+/0wM2PvdAW5wFC+2FjGDRzh1oS3YRoRjq2hdiI1aVvHpDOMxrji5b2pZpxGGCu4c8z1tccIbpsu/aLr22wPrt1JFHZjn48b9xBwPLzhob2c9CMd+GOAkkRQAIwKbxovAyBKhe6xVkUnF167g2WJIFUDOgXL170BlXDxtGjR4MTbb0PWRw/rNrofZDjxnxmZkaU/Mvxocz51Ht+C+fzdgkXQjSzczF3avsnA8/3K0R4Y+RB+pf9j9H01TdpaIAyN2mY/s+n/ndo/6GHiKN9N4ZBM/2ECplrJJoJHdskNkJeHDkEYmxwuBb7IMexoTEnx2om97mGM1dLuKaxrtHQpYYNi9o/cuQI5podU03IPKMxtlnVZVu1HzvXVPn87X0gRgGzCCABaDY0eXcsxQDkO6OpOP/Ht0W+DHk36LoLMAYlTLRsuEUTZ0G9my9cPyzbKD5F4MY8Rk0puCrpT6p+cDCUcoHLNXeOSa8uT2z/bOAOwF783OfA9/3unYHnAa4MT1Dn+wveT3Khff5Nz4M4nIqrobpJ1Y/UmnGf9eRgw8p8uXN8CeFRyBgW0u5uZVPxNbRfKfqRks/OP26cYuayXHSp4QdX+6Hc3Fk+BVclfUrRD45mNMY2qWY0dKlhI+R5Q4pViA3JuX+9nE7BVYlmUKdeBJAArBf/1lpPMQD5EnvcAbYsKC655xvctWz4FleDiMX1w7INbqK1iEeM0FJwVdKfVP3g6EbKBS7Xdj6QzG7P01M0z4LJJffc7cDTCz8vLe+ShIePv+ZNqkD7tx6kJefKWFxgNlUznIc6TsJjEJ81bFiZLzkJjyq0zxqwBhRKxdfQfqXoR8p5xvnHnWti5jINzeRig6v9UG62KQHI0YzG2CbVjIYuNWyEPG9IsQqxkcv6LFb7qB+HABKAcfihthCBFAtMzs1U7oyR06dP0/b2dnDP3flGJ0+e9N64qWHjzJkzIh+c01w/LNtwPpw6dYp1A6rkXJk2JTM4upFygcu1nZoZ2d6gY/QmHaJPvDp1n/du/v0/e28NHh2bgPYDxjAv8C1NZDi3U2uGO7bF6FLDhpX5UmNOjp1nHK9SrIskOk7Rj5Sa0VjXhKw5rOvSkvYl/GzL+oyjGY2xTcpnDV1q2LCm/di5JsX4Hqtj1NdHAAlAfcxhMeFCt/dss9XVVRofH+/u2us9z8q3rb4sQMUbGgs2pD4Ub8vcW2afH5ZtFLEoHsbn5+e7n2eXxTxGdFYmy5T9SMWFGM24JOAMfUCzNE97qDxhX3zeu762RIu/eLn7OfDY1gqtDXfos68+TZPPvEIu+ed+Uk7H+MHlHteG1IcQ7XP7XFYuJVdD+payH6k1wxnbpFwIGT9jbfhwykWXIbxsq258XJByLWRsk9rQ1EybtB+rm5RjfEjfUvXDpxmN8VOqGQ1datiwpv0QXu5WNhVXY/uF+roIIAGoizesfYlAnQOQb1t9WZBCPo1LbUPavvON64dlG1wfqhBcnVzt7X+d/ZByISROZTZ8nwMXn/dyYl2nH77+cbGS+hCifV9ffX+vk6vQjC86/DnAtSTlG5fPOdnwIz+4RNt1I+VayNgmtdFGPmtgBc3EIpB+jHY8eO/df6QZ+jUdod9Sh1ZphcbpEn2d5umbtDE0UuoEVzdSrrVR+7GMsTLPxPqB+nEIIAEYhx9qCxGocwBaW1ujs2fP0sbGBrv3IyMjdOLECRobG2PVSW1jUPuur1tbW7S5udnX1xA/6rZRBnSID6xgeQrVyVUryYzUfHZ+ltkY9Dnw4tAB6vztHI3ddz8r1HX6MaiDIZzW0CULzAGFoJlyPlfFg0GagY1+BDS0D93EIaAxtmnwADb4a+U4xuT92TwXm9R8W/vsBq28OkuT29f7uuTWYP/b8L+nL7b24HljwDq2yjmZy4uyclbWZ7F+oH4cAkgAxuGH2kIE6hyApG+auG+yHCSpbUjbd33j+mHZBtcHIT3vqlYnV60kAKVcCInTIBvF58BH6Dc0Tp/TKt1Ll+gbNE+P0ONP/TH70oq6/RjERy5WUh9CtB+rG2gm/RygMc/ABn++jNWMq9923WiMbVIb3PEZmoFmrl69SocOHapiSGC1kZrTC+deHHjJ2rv0bZobemzXvnJ1I/UhZF0jtcH1QUv7LFIMKGRlnon1A/XjEEACMA4/1BYiUOcAJD3PYrczulZWVqjT6SQ9Z3A3G1IfXLi4fli20Xsmh5CC7Gp1ctVKAlDKBS7XnJ+wsY92ns2ZSvts8gsLQjPxfHbQ957/VCUXys40SmHD50NTtC+UQlC1tutGOgdorGs0NZOL9oPILyzcds1UMn6uLdG1t16miSvv0L1by/T58D5amnqaDj576/zkldPT1NlaKo2QO6F5mTq7fhLMXQNC+7fWfxo/K5rR8BU2yhFAAhDsqAWBOgcg3ALMu83Y8s1fxa1cGuStk6tWEoA5aEbjtjwNG7G6dDdApv5BMxR147TGLZ0aNnK5BVhDM06TbdeNdJ5x2HFvnJeOn9ZuAm2CH6nnGWjmFsJS3XQ183d/Q8tnZ+n+9St94boxOkX7TszR3n84TMMDLmK7a51K++k8PXf7XMDUusxN+23SjIavsIEEIDhgDIE6F7rSN03uTZa7UfjChQulaBZbxVPbcDfeLi8vi6LK9cOyDewA1P3EJDWfn3jiiagdgFZ0qeFHrC413jLXOb5bSZrHaMbFyPe5kptrpFwoxs/UNnLRpYZmkMyQ75p12KVe12hpJhftQzN6nwDHzDV/1vmngZ/3ukvW7vvdOwN3AO58EOn9JDi1LnPTvuihLrCSlfVZYLdRvGIEsAOwYkDRHA+BOgcg30NPmQfT09N05cqV7gUbZT/3tmt2drZ7AcfFixd5YPSU4tqYmpqihYWF4PZdhRxshJzJIQKpp1KdXLWSzEipmWIB5xaKEk5z+ayhSw0bMdrX0g00Iz8D8OjRo7Rnzx6am5vzzjVSLjjNuBdIvpdIbj6LseGbL5ugfS3NIAEo14zGukZDlxo2NLQPzei+oI1Zn/3p5VM0QSuly+RNGqIb9zxEB774iL2UXqIOnR36brc8d30mnWc0bGjoso2aYRMKBZMggARgEljRqA+BOh8Q3ZlE58+fp8XFRV83b//d3dIZcmvwwYMHaXt7m65f7781q8xoqI3Q8s5uaJ3Q8ho2Jicn6dixY+Q+t9T41clVKwlADc1ocEdDlxo2JLrU1A00c+v8vtB5xip3QvkWWt6q9jU1gwSgTDNWuROqgVy0D80QaV8CIplrCn6e2v4J6/PedRqhUdpgLbk3aZh+NPS9LJ43NHTZVs2wyIRCyRBAAjAZtGh4EAJ1PyAWB5On3GWh8dZI420u5w2ei7XbwaWxi2tmZkYt+YeHsjsq1tBMLm9zrWnf7UzU1E3d43vB2rr7EaIZ67tHOfNAzI5Ba9rX1gzmmluq5WpGc82R+ouOXLQPzTzY5bB2AjBENzvH6BPbPxu4A7D3Oe7aPX9E/8P6/0vjW0s0NOABz+0AfPvwD5N90ZGb9jXXZpbmGWRJ6kUACcB68W+t9bofzArgfVvnm3DOksaZMZbOctIWjRWuWulHSs0UCzsO36yff6ahS64Ndzah5s8KV630g6OZJpwfmVKX1rSvrRlLD2YWdGNFMxq61LAhnS9DdAnN1JcAlD7TzG7P01M0z1oerAxPUOf7C7Rw7kXvuYFvL3/Ne8TEbka5ZwZqaEbLBgv8CgtZGN8rdAdNCRFAAlAIHKrFIWBlABq0db7Ylt2E29ZS+2HpNsc45oXXtsJVK/1IyTUXndS3xrXxNketz+ULdVnhqpV+cDTThBukOfOAdL60pn1tzSABePfcbEUzGrrUsKGhS2im/gQgRze9XBjZ3qBj9CYdok+8i2P3ae+eHyzR+tqS9+bgMz9+tXsMUuiPu/7T0IyWjVCMYstbWRfF+oH6cQggARiHH2oLEbA0ABWfnLg3pKurqzQ+Pt697bfYlh1zw1ZxE1oONnw+OCrEYsWxIaScuJoVrlrphwPSFycpD1zbxW2LqWz03iDdFhti8gsrWuGqlX5wNKMxflrWpTXtC6kfVc0KX630wzc+a2gmFxsa2o8iv7CyFa5a6QdnrtnJBZcEnKEPaJbmaQ+VJ+2KHYBdG2tLtPiLl7s3BI9trdDacIc+++rTNPnMKzQ6NqHyLCDlNHeNqaV9IfXF1SxxVewEKkYjgARgNIRoQIJAkwYg36coZf6H3OoEG09SHZ+PcLhrhatW+sHBTMpn1zZXN1Ib3PZdX3KxwYlZlWWscNVKP7jYpuabtH0NXWrYCNE+N2ZVlrPCVyv94GAr5XQIF3KwIfUhRJeceFVdxgpXrfSDg28ZF3yfA18+/B06fPw1jols1k5S3YSMLyxAKyzUJK5W6Daa2oEAEoCgRC0INGkAcm+hX3/9dbp27VofVmU3vbmbo44fP86+rMLZ+C//+T/S9PX/Rkfot9ShVVqhcbpEX6dfjzxG/3qz/8hdiQ0NP1Lb0CasFa5a6QcH/0GaOXDgQPfTkE8+6f/kJITTWrpMzWcNPzgxq7KMFa5a6QcX29RcqFuXTdI+N2ZVlrPCVyv94GCbWjOuDznY0NA+J15Vl7HCVSv94OBbxgW3E/D40Fs0uX29r5lPR6Zo4qW57u4+zi8HzWhpn4NnlWWaxNUq/UZbdyOABCAYUQsCTRqA3ER27tw5un69f1Lcu3cv3bx5sw9D96Dzwgsv8BOAa0u09NNZemDjSl9bi0MH6PXtZ2ljaOSuvwXb0PBDwYY2Ya1w1Uo/OPgP0sz+/fu7CcBPP/00SjcqulTgs4YfnJhVWcYKV630g4ttai7UrcsmaZ8bsyrLWeGrlX5wsE2tmSIJkHwNmHiu0dA+J15Vl7HCVSv94OA7iAt/sGeLHr35Ph2h39A4fU6rdC9dom/Q5f1/Qn/xV3/Nf6ZJzOdcdMmJV9VlmsTVqn1He3cQQAIQbKgFgSYNQBpbwH23ar1L36a5ocf6YhWyzVzDDw0b2oS1wlUr/eDgL+WBa5vLaakNbvuuL7nY4MSsyjJWuGqlH1xsU/NN2r6GLjVshGifG7Mqy1nhq5V+cLCVcjqECznYkPoQoktOvKouY4WrVvrBwVfKhbZpRmsNyIlZlWWaxNUq/UZbdyOABCAYUQsCTRqAYg+adQC7A3OvvfUyTVx5h+7dWqbPh/fR0tTTdPDZWwfmrpyeps7WUmksNmmI5ugxmqdv3rUTsOxCg5WVFep0OpVeZtJ7IPdu7bvOV4FVLYQcYNQKV630gxMfKQ9c27sd0JyCz11drq/T/Pw8uQuAmmyDExPNMla4aqUfXOylukmtGQ1datjonS+5MdEsZ4WvVvrBwT61ZqpY1/jmGQ0bUpx6dcmJh3YZK1y10g8O/lIu5Pa8oaFLTjy0yzSJq9rYtMkeEoBtirYhX5s0AJ0+fVp8nf2pU6e6yb/ls7N0/3r/5703Rqdo34k52vsPh2l4wO1bReg+pv10np67nQQcHh6mro31dTp//jwtLi72RXlycpKOHTtGZ86cEftx8uRJb/ujo6MUi5Uhit7uihWuWukHJ0ZSHri2Hac5fIvhs4ZmtGxw4qFdxgpXrfSDi79UN6k1o6FLDRvFfMmNh3Y5K3y10g8O/qk1E7uu4cxlGjak82WhSzefWfxZ4aqVfnBiFKMZjXWNFc3E6hKa4bARZepCAAnAupBvud0mTZaxb8t8n/e6m7Xu+907A3cA9tKl93Pg4o2cb0u/27rvdjktLy8HM8/ZOHLkCF24cKG0bvFpQCxWwZ1TqGCFq1b6wYFcygPXNpdvMXx+6aWXvJ/3xmpGywYnHtplrHDVSj+4+Et1k1ozGrrUsIEdgDwmNkk3qTXzxBNPRH3ZoLF24tiQzpeFLt18ZvFnhatW+sGJUYxmNNY1HD43QZfQDIeNKFMXAkgA1oV8y+02abL0JdfKQnn06FHas2cP/dt3/wNN0EppxN3nvTfueYgOfPERixVL1KGzQ9/tlp2enu4m9XyJPbfzYWpqihYWFlg2egs5G1euXKGtra2Bdd3DlfsnsRFytkiwA5EVrHDVSj84cEo1U3Dax7cYPhe6nJubG8hp6zagGT8Tm6QZ541UN5wxOobPGrrUsGFZM85/K3y10g+/wtNrZnZ2ljY3N+nixYuc7txVhqtLDRvS9Z9zyLJurHDVSj84JI2ZZ3J43tDQJTTDYSLK1IkAEoB1ot9i202aLAd9XlsWwoMHD3Y/t3U3B5/a/gnr8951GqFR2vCyYpOG6UdD36ORkRHa2PCX720wtE5oeWcrtE7xibLbbm/xZ4WrVvrBiZFEMxLuhHKtV5ccPyR90rABzfCi1yTNOI8kugnVQGh5iQYs2rCuGSQAeZreWUpDMxpjuoYNiS6t68bKGG+lHxwVaWgml3lDoktohsNClKkbASQA645AS+03abIsHszcZQGcXUM73+ae2P7ZwB2AvRS4ds8f0QNffER7BpwH6HYAvn34h6Kdds4W9+1XzBtjrg2H1czMDFlN/uGhTD5AFQcs+zTjLMTsHg3hWg47OaAZPiebNs+EzjXSMTqXneMh2rc+z2Cu4et6tyQgd30m1UwuO8dDtI+5hs/Jps013PUZdo4ThWgfmuFrBiXrRQAJwHrxb631pk2WRaB8W+d3OwtvdnuenqJ5VqxXhie6twNPL/y8tLw7M/Dt5a95P/sta8DSeVHuHA/rPytctdKP0HhJNBNig8vnJpwZwz37JgSfOspa4aqVfkhiwNGN9FyvnM6OzUUzSABKVHJ3nRw0o3HGGtcG1md8TjZ1rkmpmeLlLmeMls5lGjZC5ktohq8ZlKwXASQA68W/tdabOllybtvdeXPUyPZoNcKsAAAgAElEQVQGHaM36RB94o23+7x38+//2Xtr8Jkfvyq60dd1wNKNkZZ3/hXBssJVK/3wknhHAYlmQmxw+Rx7o5ulm+lC8KmjrBWuWumHJAYc3Uhv9szp9niuLiUx0K5jha9W+hGKfw6a0bhllWsD6zM+A6GZ3bHirs+kc5nGM03IfAnN8DWDkvUigARgvfi31npTJ0sXsGLrvHtjtbq6SuPj491bcns/Mdp5y5ZLAs7QBzRL8wM/73U7ADvfX6D1tSVa/MXL3duBx7ZWaG24Q5999WmafOYVGh2bEN9KV7wtc2+AfX5IbwoLsdEEAVjhqpV+SGLm45prU8q34u1sm2xIYqBZxwpXrfRDir2P07Ga4cxnsTZ8PmhpXxoDzXpW+GqlHxLsfXyL5bOGZqzYkOCvXccKV630Q4J/Ks2EPAtIdalho/f2eB9WEvy16zSZq9pY5WwPCcCco2vYN3dT7OHDh7s9fP/99+nAgQOGexveNXcejfu38/cY/d/0bfqgtMErD/7PNPXc/+o1WNa+tyJRN1Hp/vl+GjZ8fbDwd3eRy7e+9a1uVy5fvtw9Q7GOX1s148Oay2fXjpTT1mz4MKn779CMTgRy4bOGHzoRibMC3cThx6mtwbVcbHDwrLsMNJM+AlI+u55x106WbXB9SB+JaixY0Uw13qAVKQJIAEqRQ70oBH71q1/dTqpENYTKQEARAZesfvTRRxUt3jEFzdQCO4xGIgDNRAKI6q1EALppZdjhdAQC0EwEeKjaSgTq1EwrATfkNBKAhoLRpq4gmdGmaOfja52TJTSTD4/a5Ak006Zow9eqEIBuqkIS7bQFAWimLZGGn1UhUKdmqvIB7cgQQAJQhhtqRSLwxRdf0Icfftht5Stf+Qrt3bs3skVUBwJpELh58yb9/ve/7zb+8MMP0z333JPGkKdVaKYW2GFUgAA0IwANVVqPAHTTegoAgEAEoJlAwFC89QhY0UzrA1EzAEgA1hwAmAcCQAAIAAEgAASAABAAAkAACAABIAAEgAAQAAIpEUACMCW6aBsIAAEgAASAABAAAkAACAABIAAEgAAQAAJAAAjUjAASgDUHAOaBABAAAkAACAABIAAEgAAQAAJAAAgAASAABIBASgSQAEyJLtoGAkAACAABIAAEgAAQAAJAAAgAASAABIAAEAACNSOABGDNAYB5IAAEgAAQAAJAAAgAASAABIAAEAACQAAIAAEgkBIBJABToou2gQAQAAJAAAgAASAABIAAEAACQAAIAAEgAASAQM0IIAFYcwBgHggAASAABIAAEAACQAAIAAEgAASAABAAAkAACKREAAnAlOiibSAABIAAEAACQAAIAAEgAASAABAAAkAACAABIFAzAkgA1hwAmAcCQAAIAAEgAASAABAAAkAACAABIAAEgAAQAAIpEUACMCW6aBsIAAEgAASAABAAAkAACAABIAAEgAAQAAJAAAjUjAASgDUHAOaBABAAAkAACAABIAAEgAAQAAJAAAgAASAABIBASgSQAEyJLtoGAkAACAABIAAEgAAQAAJAAAgAASAABIAAEAACNSOABGDNAYB5IAAEgAAQAAJAAAgAASAABIAAEAACQAAIAAEgkBIBJABToou2gQAQAAJAAAgAASAABIAAEAACQAAIAAEgAASAQM0IIAFYcwDaav6LL76gDz/8sOv+V77yFdq7d29boYDfxhG4efMm/f73v+/28uGHH6Z77rmnlh5DM7XADqMCBKAZAWio0noEoJvWUwAABCIAzQQChuKtR8CKZlofiJoBQAKw5gC01fyvfvUr+ta3vtVW9+F3QxF4//336dFHH62l99BMLbDDaCQC0EwkgKjeSgSgm1aGHU5HIADNRICHqq1EoE7NtBJwQ04jAWgoGG3qCpIZbYp2Pr7WOVlCM/nwqE2eQDNtijZ8rQoB6KYqJNFOWxCAZtoSafhZFQJ1aqYqH9CODAEkAGW4oVYkAgsLC3T48OFuK24AOnDgQGSL6aqvr6/TW2+9RZ988kmfkZGREdrY2Oj7//3799Ozzz5Lo6OjrI7BBh8rFqAVFrp+/frt3aqXL1+m6enpClvnN5WLZpw2tre36dNPP43SDTQDzfjU0yTNOF9Sc3pQ+xq61LBR1Zzs41aKv2OuCUc1tWY0dKlhQ0P74dGLrwHNhGO4/i/LtPqfnqV/s7HYV/k63U9v0Z/QBt19LBOeadI9/4VHMK6GFc3EeYHasQggARiLIOqLEPj444/pwQcf7Na9evUqHTp0SNSORqVf/vKXdOHChWBTTz75JD3xxBOserDBx4oFaIWFrHDVSj840Er57Nrm6kZqg9u+60suNjgxq7KMFa5a6QcX29R8k7avoUsNGyHa58asynJW+GqlHxxspZwO4UIONqQ+hOiSE6+qy1jhqpV+cPBdOPciTS/8vLTou/Rtmht6rO/vbdOM1hqQE7MqyzSJq1X6jbbuRgAJQDCiFgQsDUDuzej8/DxdunSJVlZWqNPp0JEjR2hmZqa7g++nP/0pLS8vB+O0b98+eumll7r1crDh88H5GYsVx0ZwICIrWOGqlX6k5LNru9CNjwuxXEvphzXtR0oguLoVrlrpB4drGuOnVDMautSwEaLLYNJXUMEKX630wzcHaGgmFxsa2q9AAsFNWOGqlX5055q1Jbr21ss0ceUdundrmT4f3kdLU0/TwWdfodGxCVo5PU2draVSrDdpiOboMZqnb9LG0MjtciHjp5Rv3PVfLroMJnwFFSxxtQJ30IQQASQAhcChWhwCVgYgt8A8f/48LS72b4WfnJykY8eO0ZkzZ7qfLIb+hoeH6dSpU93kX9NtnDx50uuDS5aePn1ajBXXRmgcYstb4aqVfqTks4uV0w2HC9Alf3zhHkUQq5WivhWuWukHRzMa46dUMxq61LARMidra8b5b4WvFvphRTMautSwoaF9aKb+r5pc8m/57Czdv36lbzq/MTpF+07M0d5/OEzD5H+m+Zj203l67nYSMGT8lPKNu/7T0IyWjarWXdx2LIzv3L6iXDoEkABMhy1aHoCAlQHI91mE2/LudgbG7ADMwYbbETnoM+ji04CYt35cG9rCssJVK/1IyWcXW/cGmMMF6PLWDmNOPLhHEVSlLStctdIPboxSj59SzWjoUsNGsbuEG4+q9MBtxwpfLfSDG6PUmnFjZw42NLSvPc8gad4/svg+7718+Dt03+/eGbgDsLfV3s+BQ8ZPKd+4679cdNlmzXDnRZRLgwASgGlwRaseBOpeYBaflszNzdHW1lZpb93bqKmpKXKHyYf+jh49Snv27KGUNtyFFC456UtQxvjhbFy5cmUgTsXDm5u8JVhxbDgfZmdnb3+aHRoPafm6uVr0u+5+aGjG+crlgmVdWtO+tm7q5moTNeNitLm5SRcvXgweqlJrRkOXGjZCdKmtGSQzbtGeO89orjlS6zIX7UMz9e0ALHTzb9/9DzRBK6VziPu898Y9D9GBLz5izTNL1KGzQ9/tlm3j84aG9ovjplgBqaCQlfVZBa6giQgEkACMAA9V5QjUOQAN+rSkzKOymwXLyh88eLD7Kay7bYn7C7URWt71I7ROaHkNG8Wn2Vqfm9TJ1V7u1NkPDc1ocEdDlxo2JLrU1E2dXG2yZqxyJ5RvoeWtal9TM0gA3kr+lR2XMmgdFcq30PIautSwEeq3RJfQjP7Fhr26ObX9E9bnves0QqO04X082aRh+tHQ94KfHSTc0eBnqA0NXbZVM17yoUBSBJAATAovGi9DoM4HRN+nJWV95u6yyOVtrnSHVfGm0LdrMGZXYshtZLEqrJOrVpIZKTXjfHQ7RzV2j2q8zU1tI0aXWrqBZuQ3SIfsUpNyATs5+LOClmaQAJRrRmPNoaFLDRsa2odmrtKhQ4f4g0xkyd712Yntnw3cAdhr6to9f0QPfPER7RlwHqDbAfj24R+KvuzR0KWGDQ1dtlEzkbRH9UgEkACMBBDVZQjU+YCI81zSnrFWJHQ0znGTsS+sVp1ctZIAzEEzuZwZIz1bp9BlcTN5mArCSkMz8Tei+5LuTTifljMHNEGXGppBAlCuGc01Rw665J4dK51rem+LDZs5wktjrrlbN7Pb8/QUzbOAXBme6N4OPL3w89Ly7szAt5e/5j1mqKwB7pl+Uq7lpn1W4CILWdFMpBuoHokAEoCRAKK6DIE6ByCNm2pT25DesOWixb1ly7KN4jYyGfvCatXJVSsJwNR81rptLQc/YnXpbiZP/YNmKOpGdNwez2Mody6LHV80NIMEoFwzGusarRtQc9E+NKO3A7B3XTOyvUHH6E06RJ94B1H3ee/m3/+z99bgMz9+tXukkeTHHaNj1zUnT54sPT6g+MRWakNT+xKMQ+tYWZ+F9hvlq0UACcBq8URrTATqHIBidjO5N6fFYbvujdXq6iqNj493by3tPcg1tQ1p+8XbMo4flm3gDbPuJyZSLhRxsqAZx/0c/JD60Kt95jAtLlbn+G4laS6NU+/Y5tNNE2z4fGiKLsViCKjYdt1I+ayxrslNlw4znzal8cD6rN71mUsCztAHNEvzAz/vdTsAO99foPW1JVr8xcvd24HHtlZobbhDn331aZp85hUaHZsQr5s0dKlhQ1v7AVOGqKiVeUbUeVSqDAEkACuDEg2FIFDnAOT7hKPMj5AzGlLbkLbvfOP6YdkG14cQTpaVrZOrVpIZUi6ExAk2niT3OaTvJ8UpRPu+Pvj+Ds3IzzODZnzsuvN3a1jxe757ybbrRmNsk9qwxrVc/IBmYhEon2t8nwO7z3sPH3/N2wEp10LWHJZtWNO+N2CeAlbmmVg/UD8OASQA4/BDbSECdQ5A7q3n66+/TteuXevrfdkNUe4mqOPHjxP35tnUNga1f+DAge52/U8+6f8EIMSPum1UFQshRW9Xq5OrVhKAqfns/HQ2/st//o80ff2/0RH6LXVolVZonC7R1+nXI4/Rv94c6gtlCJ8LG9D+aKwkvPWhmVt8bjrXctGMlh9eYTTkwawu/eay5oD2+WtlaCYWgfK5xu0EPD70Fk1uX+8z8unIFE28NNfd4ef71a1LjWeaqp43NLTvi5fv73WN775+4e+6CCABqIs3rH2JQJ0DkBugz507R9ev90+Ke/fupZs3b/bFyU1AL7zwQlACMKWNQT7s37+/mwD89NNPo/yo20ZVsYgVXZ1ctZQATMnn7gP62hIt/XSWHti40heyxaED9Pr2s7QxNHLX36zpskg0pMRKQ5fQTCwCtx7KUvJAg2uwETbvx7Km7XONxtgGXdpZx8bqxdVvu2Z8Y/Qf7NmiR2++T0foNzROn9Mq3UuX6Bt0ef+f0F/81V+znmnq1qXGM01Vzxsa40usbqxoJtYP1I9DAAnAOPxQW4hAnQOQdKu5pW3gUh9cuLh+WLbB9UFIz7uq1clVKwlAKRdC4rRw7sWBt9G9S9+muaHH+kIaYkPDj9Q2pO2HaD9WN9AMPgFumy5jNYNkhlwzIWObdPxsI581sIrVDeYauW64nJbyQEOXGja4OLm+SLEKsZGLZmL9QP04BJAAjMMPtYUIpJq0ew81XllZoU6nk/SCjrpsSA9nduHa7WKG3fywbKPsUN6yeAhp2q2WiquhfUrZD59upFy4zbW1Jbr21ss0ceUdundrmT4f3kdLU0/TwWdvHTLtfiunp6mztVQKyyYN0Rw9RvP0zbt2AnL57BqO9mN9nebn58ldAJSz9kO5ubN8Sq6G9C1lP1JrxvmZgw2fD7noMoSXZWVT8jWkf6n64eOCdHzWWNeErDmkfuRmwxfvEE5CM3mvOaSaaaP2Y3WTanyP7Rfq6yKABKAu3rD2JQIpBiC32Dh//jwtLi724VxcA+/O8Dt9+rToSnvudfYaNqTX2TtguH5YtuF8OHXqVPcBmRPzGOGl4KqkP6n6wcFQyoUu1/7ub2j57Czdv97/ae+N0Snad+LWOTRbP9hHw7TtheZj2k/n6bnbSUAunzV0qWFDGosQ7XPPOm3zQ5lv3JHGKWRss27j5MmTrPE5hzk5VjO5v2xKOc+EjG3WNcNd11j3g6t974TvKZBqXRTarxT94GgmlzWHlM9t1H7sXJOCq6F6Qfn6EUACsP4YtLIHKQYg39brYou19E2Tezt75MgRunDhQmnMtGy4HUjLy8si7nD9sGyjeFPOjbkIqITJakl/UmjG9YODoZQLLk5/1vmngZ/2FjfR+XYA9mLW+zkwl8/uhl1onz+GSTha1EnF1dA+pepHas289NJLyXWpYcPKfKml/VB+7iyfiq+h/UrRj5Sacf5x54GYuUxDM7nY4Go/lJvQzB0E8LxxC4u2ad/NZzG/FON7TH9Qtx4EkACsB/fWW61yACo+M5ibm6Otra1SbN3OitnZWdrc3KSLFy8Gx2B6epquXLliwsbU1BQtLCwE++AqcP2wbOPo0aO0Z88e4sZ8ZmaGddjxboBWyVVRwBIkIns/zfElkp1upFxwXPvTy6doglZKXXd7/laHJ+hfR/9HOvDFRyyIlqhDZ4e+2y3L5TO0H4YVNNNPxZC5RqqZkLFNasNpxuk+tfZ982Xx8OYe4CTzmTXtx2jGYZHzXMOZq6V8DpkHpDY0dKlhw5r2XaIwRjdt14zGukaqGQ1datjQ0GWIDRfzHDTDWuyjUDIEkABMBi0aHoRAVZP2oC3yZfYPHjzY/QR4t1uAy+qUXRFfp43QPrm+htYJLa9hQxK/3k/AQ5VZFVdD7e4sX1U/JJqJieup7Z+wPu11NtZphEZpwwvVJg3Tj4a+F8xnCXdCNaBhI7RPkvhBM3fTUKKb0Djlwp1QvyX8DLWhgW2MZnJMAGpoJhfuaPAzVDMa2DobMbqpal3kXXR4ClTVD4lm2sydUE6HltfAVmIjB83Eag714xBAAjAOP9QWIlDVZOn7rKSseyFvW6RvvzRsWHuba3knh/SWraq4KpTK7WpV9UOqGdcR7o6bXs2c2P7ZwB2AO3G5ds8f0QNffER7BpwH6HYAvn34h6JdQxq61LChoX1o5g47pbrhagY7OWTjS8i4qqFLqWZyTACm1IzDy603LK85oH2+OqW6qWpdxO/p7iWr6odUMxpjm8aag6MZaP8WB5uumVjNoX4cAkgAxuGH2kIEqposY870yuWsFQ0/uOe5xMRDw4bDKvRXFVdD7e4sX1U/pDEqFl2cOPWeszS7PU9P0Tzb/ZXhie4NwdMLPy+t484NfHv5a95PGHdrIOT8SJwXtY+gmVsskuqGez6Rxjl1Uj5Ltc8W/ZcFuVhJ/dDUfqjvOSYAc9CMhi41bEg1o6l9zDVx84zGs4CGDc4aU0MzTbDRZM1I5kjUqQ4BJACrwxItBSBQVTIj5vbAXG5b0/CDe6NbTDw0bDisQn9VcTXUbqoEoDRGrj/cG3d7b3Qb2d6gY/QmHaJPWBC4z3s3//6fvTcHn/nxq+LbvDU0k5MNVuB6CuWmGeeaVDdczeA2R9n4EsJNzRuWQ/pVlM1NNzloRkOXGjYs37JarC2wPoubZ3JZc2g8C+Rio8makcyRqFMdAkgAVoclWgpAoKqFbswb5uLNSe+FCKurqzQ+Pt697bc4ZBU2bu0C8uEUu0tGy0YATbtFq+JqqN1UCUApn4udAJw47bThkoAz9AEdod/QPlqhoQFguB2Ane8v0PraEi3+4mW673fv0NjWCq0Nd+izrz5Nk8+8QqNjE1E7sqB9HhuLHVO80ndK5aaZpoxtvjG6Du2HcKfgWyo/evmsYSPEd8w1d9Di8iAXXWr40RTtQzM/jfqyweGnMbaltuFrX0MzTbHRVM2E9hvlq0UACcBq8URrTASqekCUnpcRcnYCbDxJ3Gvnc8Gql8ZVcZUpjdJiVfVDGiPXMa5uBtnwfRLsPu89fPw1L1xSP7g+uA7ABl/7OWsmFy5I+VyV9n2i5mpT6ge3fa1478SjqjHeh7Pv71X1QytO7737jzRDv6Yj9Fvq0Cqt0Dhdoq/TPH2TNoZGdnXXGhdSYyVt35r2oZnd1ds2PmuN0VLdWIuHxfWZbx7C39MigARgWnzRegkCVS0w19bW6OzZs7Sx4b85tOiKuwXqxIkTNDY2xooPbLQPK4uTpYZmnDa2trZoc3OzTxshuhmkmT/cu01/vvEGHaLrfTYWhw5Q52/naOy++73ahC5t6TJnzTjfcuDbIB80tK9ho2zgCBm/tOKdezJDRTOf3aCVV2dpcrt/PvmY9tN5eq4vCWiRC6mxykX70Ez/CNdGPmuN0al1qeWHxfWZd5GPAkkRQAIwKbxovAyBqpIZubydgR/8nUYaWFmcLOvWjMOE+1bTF6PeT4LH6XNapXvpEn2D5ukRevypP2btOPXZKBt7uD64+rDB12XOmsmFC1I+V6n9QasirjalfnDb14p37skMjTgtnHtx4IVR79K3aW7osT7aWeNCaqyk7VvTPjSz+wjaNj5rjdFS3ViLh8X1GTIk9SKABGC9+LfWelXJDOm5JiFnW8EG/ybQXLCyOFnWrRmHCVc3Uh5o2OD64Poi9aONNnLWTC5ckPJZQ5caNqzpMvdkhpRvIXFaOT1Nna2l0rX0EnXo7NB3+/4eYkPDj9Q2pO1r6DLEBjSzO9Xbxudc5mQtPyyuz1qbADHiOBKARgLRtm5wkxm9B8GurKxQp9O564KOmFvmituTYGMw+3pvTpyfn6dLly7RbrFwrcTGwxcLLRsWJ8u6NeMw4XJBygMNG4UPzpaPb1I/crPhw6npD2Uc/2K5YMGG1AcNXWrYsKbL3HUj5dvteWZtia699TJNXHmH7t1aps+H99HS1NN08NlbF0G539YP9tEwbZcuYtxfLtBM33mA3LlMa80RjdX6Og1an0nb19BliA1oZneqWxvbpHxrmy61xheLzzRty3tY8xcJQGsRaUl/OMkM98B0/vx5Wlxc7ENlcnKSjh07Rq+99lrUjVmw4Sece7P44osvemMxOjoatWPKkg2Lk2XdmnGYcLkg1aWGjd4bJjG+DNY/N95O+zlrJpexzbIu26j93HUj5Vt33PnuMVo+O0v3r1/pG6RujE7RvhNz3SSgbwdgUXnneYAhY5t095wlG9JYaOgyxAY0s/ucndO6xtKzQA7at6oZ/9MnSqREAAnAlOii7VIEOMkM39kL7owF97tw4UIw0sX5DLDhh46DMxfPMmvWbDQ1mZGSzw4TbpykutSwweUqx9dBfHY3Z6eMh5YfvljudtYNZ3z3jzzxJTj94MSIE8smjG2+WA5CnKMHTpk6bWhphsOXNuhGyjeHzVcvvzHwbL/itnjfGYC9fOs9D5DDVS5foH3e2qAK7TttYX3WjySXqxze172u8Y0bXF+boEvOXFGFHxY1E7/CQwsxCCABGIMe6ooRGPRgVnwqNTc3172RtOzntoo//vjj9NFHH9H16/03wJXVc7sHn3/+efrggw+oyTYOHjxIDz30EH344YfeXZBSrAob77333sBYOKzdG8iHH344OB5cG86H2dlZeuSRR+iNN97YdWdoWcxDbczMzFDx1oyTRBALIaBinZpx3QzBUKJLDRvQPn+c5Ma70P6RI0eo0E1umtEad1KPbVZ12VbtO141aa7p/Yx9eXl54OwVu+b4d3Mv0AStlNpwn/auDk/QZ5P/E/3h9f9OD9z82DubFucBcsc2zTUHtP8Q+daZRTyapBlHyhyeafC80f8lWlXPG6m1b3We8Q7YKJAUASQAk8KLxssQKHtAHPRJrm+wvXjxohdw9+YoZrC1YuPo0aPBibbehyyOH1Zt9CZxOLs/JX4Un5i7JKD1ZEaMZjjJY8cbCYbFgpHDtdjkMccGtH/rhQEHK0m8HU8K3dy4cYMefPDB7nh89epVOnTokHdsTlGgynlGa9wpXk6lGttCHuSgfb5mpONLU+YayTwTs+Y4tf2TgWf79Y4XN0YepH/Z/xhNX32ThgYMJJs0TL+c/UXw2gnaD39xxJlnpPN+UzRTJP/KjhppyjONdD0Qsga0aiMX7VvUTIo1H9rkI4AEIB8rlKwQgbIHM9/nWGVdcItvdznFoLfSxRkZOdhwu204D4i74cXFyrKN4hMA3/kcLuZSPwob1hOAMXx2nx+kxrBNunzppZe8n/3GjmFSPju7Wtp3iUbLCUDrmtHQpYYNaJ+3aGrCXCPVjHTcObH9s4E7AHci6z4Jvu937wy8EXhleIIuPfG6aO2kueZIPSfnon3nR87rMyvjZxPWHByspH7kpn0rmuHNjiiVCgEkAFMhi3YHIlA2APkWPmWNchI93EG8CTZ8k90g8LlYWbbBTeZyEh6D4u0SOlYmyxSa4SSsYjH0Lbpy0iXnwSp2fLGsS+eb0+YzzzxjOgEYM89oaCYXG9A+byFYzGeW5xqpZooxgcOF3rFtdnuenqJ5HoBE5JJ77obg6YWfl9ZxScK3l7/mPTJltwY01xy+ZGvsnKwxvnDiHTtf5r4+08CQY6MJa46UfuSmfSvzDHtwR8EkCCABmARWNOpDoGwAirk6/uTJk6ybanOwcebMGdredqfghP/cOSocrCzbcD6cOnWqe7aK7yZXqR+FDSuTZQrNaGDI4Zr71DoHXWr4IeWzGym0tP+Xf/mXphOAMVzT0EwuNqB93vzchLlGqhnpuDOyvUHH6E06RJ+wQHSf927+/T97bw4+8+NXRWsnzTWHxromtQ0N7btxMuf1mQaGHBtNWHOk9CM37VvRDGtgR6FkCCABmAxaNDwIgVS7mXoPqV5dXaXx8fHuJ6C9hwZL32QXb4Es2JD6ULyNd29OfX5YtlHEwvmTyo8m7Mpw/kvjpImhL0ZV+NEWG9J4a2o/9x2AGuNOLjbaossqxjArD2a79aOOccclAWfoAzpCv6F9tDLwfD+3A7Dz/QVaX1uixV+83P0ceGxrhdaGO/TZV5+myWdeodGxiUbMl9C+//mpLeszC+NnHdr3M+BOCe6zmdQPzbWyhszbbEgAACAASURBVPatzDMhMUbZ6hFAArB6TNEiA4EUZwC6zwk4P9/nFWVtFJ8qcm289+4/0gz9mo7Qb6lDq7RC43SJvk7z9E3aGBrZtRmuDakPzmgONrg+OH+lWDXhXKYq/OPyWXLmpGac2uKHlM+a2s/9DMC2cA3jC3++rAIrKw9mu/Wj7nHH90mw+7z38PHXvNKU+oG5zAvt7QKaWFnWTBVjAgf11JyWtq+55uA8/0n90OSzRrytaIbjK8qkQwAJwHTYouUBCJQNQGtra3T27Fna2Nhg4zcyMkInTpygsbExVh0VG5/doJVXZ2lyu//2tI9pP52n5/qSgCF+DPLBtbO1tUWbm5t9eDTJRlkwQ3xwbcTG28pkmb1mctF+Yj+aoH13GZPlS0BixwTORAMbxubkxLrMfa6pe9z5w73b9Ocbb9Ah6l9TLQ4doM7fztHYffd7pQld5qVLrM/i17g+0dStfY1nGivPG75Y5DTPcHxFmXQIIAGYDlu0LEgA5vKGZuHciwMPo36Xvk1zQ4/1IcR90yTFCW/k+LLEDsA7WEn5xuVzLm/KNfyQxkJT+9gBGL/zmDNSSbkAXXLQvVVGEyvLyQwp10Iw9Nno/SR4nD6nVbqXLtE3aJ4eocef+mPCLiA/rzX57O9N/DhpWTMa6wENGz5dDoozl2+WbXB90IhFFTasaIYzPqBMOgSQAEyHLVoWJABjz2joPS9jZWWFOp1O9WcAri3Rtbdepokr79C9W8v0+fC+7u1zB5+9dcaM+62cnqbO1lIpAps0RHP0WN/nwLudZbGbH1KcXIdysFF2JkeVWLXljBnHCZ9upHzjcs31ATb20c6zOavks6b223YGYJVx0hzboH3/Mk1zDLPyYKZxBmCVmtEY23LTZS7at6yZXNY10rWZhi41bOSmfSua8c++KJESASQAU6KLtksRSHGjKecWqOhbOv/ub7y3zLkk4NYP9tEw+W/p3fk5sNYtnRysLN/8pXkrl5XJMoVmNG4b5XAtWpe4AZw122iNL7gF+BhJx0/NsS2Hm0BzGV+s32iqfQswa0DrKZR6bMtJl7nM+9Y14+gp1Q2XzxprJ+lc5vzn+mHZRm7at/JMEzrGo3y1CCABWC2eaI2JQIpbgN1tv4MuKii2cUvfZrm3QH/W+aeBn/YWB1H7dgD2wtT7ObCzwfHj0qVL5M7ZkvxysFG8kfN9NuBiLsWqLTsAU2PI4bP7dCtGl22yIeVz8aacg1Wsjdx3AKbWjNsJmoMNDteg/Tu78q08mKXYAcjhQuy4k9KG5poD2vevbNuwPuPwWWP8tKxLjXVNbtq3Ms/4VY4SKRFAAjAlumg7eAegb+FT1uD09DRduXKle/lF2c+9xZmdne1ejnHx4sXg6Dgbf3r5FE3QSmld92nv1ek/p+3NdTp89S2WjSXq0Nmh73bLcv2YmpqihYUFVvs7C+Vg4+jRo7Rnzx6am5vzxlyKVe5nADoeuCSyL5HsdCPFkMO1YgHnFlkSTnNsVKF9jfGFY0MaC63xxekm1zMANcYdDRvQPn/q1BhfmjDXSNdmWuMON07S8VNDlxo2ctF+EzTjuC/VDZfPsc80Oaw5uFi1XfvWNMOfhVEyBQJIAKZAFW16ESh7AzHok6SyRt0NUSG3Bh88eJC2t7fp+vX+2+R8Nk5t/4T1ae+NkQe7Nh64+bEXi00aph8NfY9C/Qgt7zoSWie0vIaNmPh5g/FlgcnJSTp27Bi5zyusvC2rUzMacdWwocEdDRsWdeniV+jmxo0bpm8BlswzGnHVsGGVO6H9Ci2vga3ERlPmGolmNMZ0DRuSuFrkZ2ifNLCV2GiKZpxvEt2ExkmDn6F9ksTVog0NbDVsWNQM93kM5dIggARgGlzRqgeBQUmV4kKClLu7pG9aT2z/bOAOwF63L089R7RnhKYu/1faM+A8QLcD8O3DPxTvfsIuLp7cuG8J3RvVmZmZbvLP/awnAItF5vz8fNIdkc4OF0Ppm1YNG1Lt81h2q5SGDWs7OdznSoVuctOMxi4LDRuWddlG7Tdtrum9LAo7x/0zAne+hPb5a4umaUZrfdbGNQe+GuF/+WbxmcY/gqJESgSQAEyJLtouRYDzgOjbOl/F+W6hNma35+kpmmdFdmV4gjrfX6CFcy96zw18e/lr3k8xdzOqdTaFlbNINM47cTZ6fxyusggRWYjTj1A+h3YJ50fyENPSpcZZcVzt56wZrXEn9TmYOMvp1k3bKcfJEO1jrtl9POXOM7noUsOPXLQPzZRrxtLYJuUbtM9bY7pSIVhZXJ/xPUXJFAggAZgCVbTpRYCTzEh9Q6HkJrSR7Q06Rm/SIfrE66P7tHfPD5ZofW3Je3PwmR+/2v1kOPSndTtVLjctcv2wOFnWrRmHCW504ylUS5eSMYznwa1S3HgXu2WLtjlcDemHtCynH5x5RuOmRQ0blm9aDOGb1A9rusxdNzFx4s7VOdyyCu1jrik+0YzRjMZ6QMMGtM9b8TR9fcbzEqVSIYAEYCpk0e5ABDgPZq6B3k9OVldXaXx8vHtLbrGdOWbHhHtbJrHhkoAz9AHN0vzAT3uLHYBdG2tLtPiLl+m+371DY1srtDbcoc+++jRNPvMKjY5NRN2AKvWDS9FiR4MvFq692HhYsdHUBKCEz1weuHJcLkh5oGGj8CElVrnZ4OgyZ83kMrZZ1mUbtb9z7OWui0LGbElZbj9844KUb9x5JhddavghjYWGLkNsQDO7K7qNaw4pp9s4vlhcn0nmJtSpDgEkAKvDEi0FIMBdYPqa9H3KU1a/uA3J1777e5kN3+fAlw9/hw4ff41jwvtJUko/fB2sAqum2bA4WdatGYcJlwtSXWrY4PowSPtN47M0HiFY5ayZXLgg5YGGLjVshPBZilWIjaYnM3zjoAaGsPEk7fwsdre4SHHS0GWIDWhmd9WFjDtSLsCGb8S783drWFlcn/HRRMkUCCABmAJVtOlFoKpkhnsD/frrr9O1a9f6bJbdKOVuXDp+/PjtSx58nS2z4XYCHh96iya3+28T/nRkiiZemuvu7uP86vTD9S81Vk2zYXGy1NDMgQMHup+if/JJ/yfuIboZxGcNG+Dz3aOOxviSs2acbxoYOhv/5T//R5q+/t/oCP2WOrRKKzROl+jr9OuRx+hfbw71TSdN0iW0P3g1UNUYz1lzDCpTVT+0NFPXGrBJ65q65+SqtJ97AhCaiX82a5IutdYWFtdnsfMU6schgARgHH6oLUSgygXmuXPn6Pr1/iTc3r176ebNm309dAuRF154ISgBWGbjD/Zs0aM336cj9Bsap89ple6lS/QNurz/T+gv/uqvK7Gh4QdslBO5Kq4KpXK7WlX9cAvMMj7v37+/mwD89NNPo3RTtw3wuT8BmHqctLjArEozxSI9NYbuqIiln87SAxtX+vS3OHSAXt9+ljaGRu76W8h8VrcuNcaXJmm/DcmM5JoZMJ81iQuDtFmFH7loH5pJ+0xTBdfU5kton/2MaXF9FvtMhPpxCCABGIcfagsRqOrBDFvZeZ9/uDABKz5WFifLujXjMOF+1iDlmoYNrg/QDD/euT+UaXHBd2P8u/Rtmht6rG/W5XLasi7bqP3cdSPlG5fPWrrMwQ+pDxq6DLEBzez+0AXN8B9G24iVxWcafsRQMgUCSACmQBVtehGoKpkRewhs8aZqfn6e3LX1Kysr1Ol0kl400lQbvQd+7+aDwzI2Hho2vOTcUaAqrobaTbXQlcbI9We3w5Or5LOGjbLDsqv0I0cbIfzNTTOVjG1rS3TtrZdp4so7dO/WMn0+vI+Wpp6mg8/eugjK/VZOT1Nna6kU6k0aojl6jObpm3ftBMxBlzlqP0QzrmxuupHONVw+V6LL9XUatP7LxYY0Fhq67LUBzfyUlpeXQ2G4vTbL5ZlG41kgFxuhZLEyz4T2G+WrRQAJwGrxRGtMBKoagE6fPt39ZDH0565P17jOPhcbJ0+epPPnz9Pi4mIf1JOTk3Ts2LHuVvSYeGjYcPEI/VXF1VC7qRKA0hi5/jjdcOJ05swZkS41bED7fCYWWPFr3CqZm2acT1LddDXzd39Dy2dn6f71/k97b4xO0b4Tt86L3frBPhom/3z2Me2n8/Tc7SRgDrrMTfuhmslRN1GayWTNwZkvNdZOlufkQvtYn8XNM3je4I263PlSQ5exNpqsGV60UCoVAkgApkIW7Q5EoKoHROlbzeINs++zCLdV3O0MjHkjl4ONI0eO0IULF0pjWmypj4mHho2XXnopWJlVcTXY8I4KVfVDGiPXHacbTpykmtGwAe3zmdi7k5FfK88EoFQ3DsM/6/wTTS/8vBTC4sZ43w7A3gZ6PwfOQZe5aT9EL0XZqsZ4ie3eOlX1I0YznHnG3X4LG82fkwvtY30W/xUNnjf8ox93vmzC+NJkzfgjhRIpEUACMCW6aLsUgaoWmL7JrqwDR48epT179tDc3BxtbW2V9tO9KZqamqKFhYXgaGrYmJ6e7iYnfQnKGD+cjStXrgzEqVjAuYlVghXHhvNhdnaWNjc36eLFi8HxCDn3I8XDUHCHEyUApZpx3eHGSaoZDRsautSwoaF9aOaOCKW6cXH608unaIJWSocA92nv1ek/p+3NdTp89S3WULFEHTo79N1u2Rx0qeGHhi6lmnH+V7UuYhFoQKGq+hGjmRzWHFxdxqxruDYsz8mOilLdVMXVpmtGY2zTWHNw+NyE5w2OH21/ponVHOrHIYAEYBx+qC1EoKpJ253hUPZpalnXDh482P08cbebg8vqjIyM0MbGBttbDRuhfXKdD60TWl7DhgTb3s+U2UH8smBVXA21u7N8Vf2QaEYjrho2JNwJ1YCGjdA+SbCFZu5WoEQ3RZxObf+E9WnvjZEHu3PTAzc/9g4XmzRMPxr6XhZjuoSfoRrQ0GWMZnJMAMZoxiuAngKhXAgtr8EdDRuhfmvo0tmI0U1V66IQvu1Wtqp+SDTTZu6Ecjq0vAa2Ehs5aCZWc6gfhwASgHH4obYQgaomS2e+OMiVs5tP402rhg3rb3O5b7+kfoS87XTxmJmZ6Z5RKPlVyVWJ/aJOlf3oPfwYu0f9UeHyORftQzO7cyJkrukd205s/2zgDsBea5enniPaM0JTl/8r7RlwHqDbAfj24R+Kd1xj57hf965EiPZj5pkcE4Ch6zPpeiAkTlIbIWsOyzas7eJyn3rH6KbKdRFvRNi9VJX9CJlncllzSDXTRu3nsj6L0RvqxiOABGA8hmhBgECVk2Vh3ve5SVPOqeOcfWP5jDUXD+4ZG1I/Qs5xc+d4xPxScFXSn1T94OgmJk4cPjfhrBUrfkhjEaJLaGawQkM1M7s9T0/RPEv2K8MT1Pn+Ai2ce9F7buDby1/zHv+wm9GQ8VPKN+4ckJP2WQEeUCjVGB/arxT9CNVMaJ+5fIvhsztvK6UfWrrU8IM7X4bGeWf5FFyV9ClFPzhc0xg/pZoJWXNYtmFNl7mszyQ6Q53qEEACsDos0VIAAikmy0Fb55t0Uy3n1rgm3OiW0o+Qm1ylO/8KOqfgaoBUbhdN1Q+ObqR8y+m2NQ6fY29049iQxsIRKSQeEo5CM3c+Z+uN08j2Bh2jN+kQfeKF1X3au+cHS7S+tuS9OfjMj18V3bYdMn5K+RbCtVxui/UG11Mg1Rgf2q8U/Ug5z4SMbTF8zuWWVQ0/OHNZ7NrMxT0FV0P1kqofHM3ksuaQ6rKN2o/VjRXNSHSGOtUhgARgdViipQAEUg1AvZ82rq6u0vj4ePfW0t5PDGJujXNvTi3YkPpQvJHj+GHZRu/tpJx4BFCzr2gqrob2KWU/fBhKuVDEyde+wwI29pEVXYZyc2f5lFwN6VvKfvg4vZPPLgk4Qx/QLM0P/LS32AHo/HRJwMVfvEz3/e4dGttaobXhDn321adp8plXaHRsIlozXRvr6zQ/P9+97X63ORO65OkyhJdlZVPyNaR/qfqRimsa65qQNUesZjR0qWHDF+8QTkIzu4/PGmsnKZ81dKlhw5r2Y3WTanyP7Rfq6yKABKAu3rD2JQJ1DkC+bfVlQQq5pSy1DWn7zjeuH5ZtcH2oQnB1crW3/3X2Q8qFkDjBxpPE+bRDilOI9mN1UydXrWvG9znw5cPfocPHX2OFQMoF6JIFb7dQCFb8Vncv2XbdSPkcEiepjRAewAZvLovVi6vfds04DFLzTdq+hi41bFjTfqxurGgm1g/Uj0MACcA4/FBbiECdA9Da2hqdPXs26FZfd3PUiRMnaGxsjOVxahuD2nd93draos3Nzb6+hvhRt40yoEN8YAXLU6hOrlpJZqTms/MTNnjji4YuY3UDzZTzedDnwItDB6jzt3M0dt/9rBBAMzzNaI0vrKANKNR23WiMbdAMNBOr093q16nd1JyuW5cazzRVPW+kjkUV3K2Tq1X0H21UgwASgNXgiFYCEahzAJK+zbL0Fkjqg8bbMg0bIbEIpGZf8Tq5aiUBKOVbSJxgg7drQopTiC6hmVgEBu/KKD4HPkK/oXH6nFbpXrpE36B5eoQef+qPWTtBXQ+lXIAu+fENwYrf6u4l2z7XSPkcMrZJbYTwADZ4c1msXlz9tmtGYx6Q8llDlxo2rGk/VjdWNBPrB+rHIYAEYBx+qC1EoM4BSHqexW7nma2srFCn00l6zuBuNqQ+uHBx/bBso/dMDiEF2dXq5KqVBKCUC1yuOT9ho/+ssVTaZ5NfWBCaieezg773DK0quVB2plEKGz4fmqJ9oRSCqrVdN9I5QGNdo6mZXLQfRH5h4bZrRmP8tKzLHLUvlAK7mhXNsDuMgkkQQAIwCaxo1IdAnQNQDjcOWr4xy8WeewOk1I/iFksfz6r4e51ctZIAzEEzGrfladiQaqbQpbsBMvUPmiGK0YzGLZ0aNrg3gcZgpWFDQzNOk23XjZQHmmsOzs2s0jFa63ZuDe1DM4dST7O325fqJvU6/f9v7/5C8zrzA4//LFkiCx7JniUztuSoMmahTPFiSBOiBimZi70YCrsXk4G0tMq0A4XArt2FBcOAyuCWwRe7LeO5CLtQNhFsG2h6MyzkohejSgRB0oDBTNmLsFbtKEocdixpxJK1LGl5XvckryW97/k9z3POc37neb+CuZmc9/ye5/P8fue878/nT4q6TBEjZV2mSBor55kUcyVGbwEagGRHIwJNHoBC/zXL/Quwe6Pw0tJST7PiUvG6Y7g3Nm5ubgatnXYelmNwBeA9OX8+3RfMuvPZvfyCGLrjS2xdujcN1/3X5PHdStM8Jp/dGpXdduXONaG5UBw/645h5XwZe3xJUTM0AMOvmnV2dX+vSVUzudQ+NZPP97PQ80yKukwRI2Xt1/3dzNJ5JsVciUEDkBwwJtDkD8SyHz29qDQ/uLQnitgYZT+s+i23dh6WY/g8kyM29ZvMVSvNjBxqRvPDKrYuU8SIrUvNm4apmViB+OfzlTUQNQ2PfvmsaYrFxij74ZjqfBlblylqxtIPs6bOeaHnGWdX9/ca7T/uxtZMirpMFSP+KFq+h6Zy9fDImhxHaN3UXTMp6jJFjJS1X57x8Vs0mavxo2cPVQlwBWBVkuzHS6DJA1C/Wzh6TWJiYkIuXrwoKysrpfN0J4tnn31W3n77bVlfXy/dvtjAJ8bs7Kx89NFHsrGxod6/2zCHGJOTkzI/Py/udssUf03mqpUGYN014340Xbp0yTunffI5RV2miBFa+ynrhpp5/Py+xcVFr3OAW6NXX31VPvzww75XmhfHhZBcKGrm9u3bqqvIY2JozpeWaz9lzdAADKuZFN9rUtRlihgpap+aEbl3L+0dGiHnGp/vTiHngBR1mSJGiroc1JpJ8fuNGL0FaACSHY0INP0DsXgw+fLysuzv7/c0cM9+ePHFF70bE90njbpi+HyZC51HEeO9997r6+QAY3/IlcVwc5ibm5OZmZlkzT9+lH1VGnXXTPeXOU0uWK1Li7Wfum6aPr4XWdv0OHxqxq1RzD8c1VUzKeoyRQzfukxdM5xrHlettmZSfueouy5zqX1q5plODqduAPrUTexvAc0/HMXGKDuX5Vb7g/qbppHmA0G/FKABSDI0ItD0D7Ni0mWXzrsretxfv+f+9QIsLhvPIUaZgXau/ay0MVInrJVctTKOOvPZra2m5jTbDEJdulu5NOuR6hZGK403a+PQrlHZdrHHz7JjbL9jq6bmNNs0GUN7nkr5iIluDyvHeAvjKKsF7VrG1ozmGNuGGClqP/V5xs3JQq5aGoembkJzQVtzMecBzWe142hDXQ5yzaT+LUe8JwVoAJIRjQhYOWlr3uj2xhtvqG6VOgxZPN8ohxivv/56z9vZui9fL3tuVa9kc1baGKkT1kquWhlHnfns1labC9TlaXHPNtOsR6rb5a013tpUM26N6j5+htZMirpMEcPnnJy6Ziw1ESzUjfa4VnfNpKjLFDFS1D4109wVgMW5V1M3obngc/yMiaH9LZBL7Q/qb5rU8yYeDUBywICAhS+Y3SfM1dXVzhsVt7e3ZWxsrPO23+Ky7OvXr8vBwYG3WvHqePfB4raWNscom4ObZ6yVJob3QkR+wEquWhlHnfns9l3UTVkuxOZanfOwVvuRJeD9cSu5amUcmlxLcfwMrZkUdZkihk9deid9BR+wkq9WxlF2DkhRM7nESFH7FZSA9y6s5KqVcWjONaG54HP8jI0xSLXvnfSRH7CUq5FT4eMRAlwBGIHHR8MF2nQAivlXJneFjuaPGI+vZrL4ZyVXrYxDs0ah+ez2Xfwrc1mc0Bja/bv4ucQos6z6v1vJVSvj0PrWnW+h+09Rlyli+NS+ds2q3M5KvloZh8Y2NKd9ciGHGKFz8KlLzXpVvY2VXLUyDo1vaC4MWs2k+g6oWbMqt2lTrlY5b/b1pAANQDKiEYE2HYDKnqnRC9DnOULEeFmaeBaGJvmt5KqVcWjMQvPZ7VtbN6ExtPt3Y8klhmbNqtzGSq5aGYfWtu58C91/irpMEcOn9rVrVuV2VvLVyjg0tqE57ZMLOcQInYNPXWrWq+ptrOSqlXFofENzYdBqJtV3QM2aVblNm3K1ynmzLxqA5IABgTYdgHZ2duTmzZuyu7urlhsZGZErV67IqVOnVJ8hht5KBVrhRlZy1co4NLT98tnVhnvz9t7e3pFd+dQNNUPNlOVim2rGzaXunG66LttU+2W5Vcd/t5KvVsahMa67ZlLUZYoYKWpfs15Vb2MlV62MQ+NLzei/O6Ww0qxZldu0KVernDf7ogFIDhgQaNMBiH8t01+dl8IqdfpayVUr49D4h+aB27f2X5lDY2j378aSSwzNmlW5jZVctTIOrW3d+Ra6/xR1mSKGT+1r16zK7azkq5VxaGxDc9onF3KIEToHn7rUrFfV21jJVSvj0PiG5sKg1Uyq74CaNatymzblapXzZl80AMkBAwJtOgBV8byM7gfabm1tyfj4+BMvGmlDjLI5uLSqYh4G0vOJIVjJVSvj0KxPaB64fXe/aa54OU9ba8bNp6xuQq18nsejWbMqt7GSq1bGobWNzYW6ci1FXaaIYblm3Pyt5KuVcWjqpu6aqeJ7TVldpogR6tRdl5r1SL2NlVy1Mg6Nf2gudB8/y3I6NkbZ/lPUTBUxNOuReps25Wpqm0GKxzMAB2m1Dc21TQegKt5mtbi4KOvr60dWYHJyUubn5+XGjRtRbxp2J8s6Y1y7dq10/6Ojo9FvATaUol8OxUquWhmHZo1Ca8bt271pTpNv1mtmYWGh0/yrsy5dDIt/VnLVyji0axRaN3XXTIq6TBGj+y2W2jVJuZ2VfLUyDo193TUT+71Gcy5LESP0fFnUJeea/tk4KDWT4nuNlZqJrUtqRnMEZ5umBGgANiU/4HHbdLKM/Zesssvt3WX1t27dks3NTe+sKP5Fru4Yly9flqWlpZ7jK24NiLXyBkjwASu5amUcGvLQPHD7djmtyTfrNePeal13XfLm7Hx+lLmZhNZN3TWToi5TxOAKQM3R286ViJrR1l0z7uVkOcQIPV8Wdcm5Jp9zTUw+p/heo/n+14a6pGY0R3C2aUqABmBT8gMet03NjLIf8b2WcnZ2VoaHh2V5ebnz0oNef+6qhKmpKVlbW/POiunp6U7jsKx5GBvj7t27fedQfEl0P7BC5uHzbBFvpMgPWMlVK+PQcIbWjNu3y+myfIvJ5xR1mSIGNVOeiW2qGTeb0Lqpu2ZS1GWKGJZrxs3fSr5aGUd5hddfM3Nzc50XVq2srGiG88Q22rpMESP0O6abkOW6sZKrVsahSdKY80wOvzdS1CU1o8lEtmlSgAZgk/oDHLtNJ8t+t/H1WsKJiYnOLb0bGxvqVXZvSPR907DP9m4gFmMUt0G7y+0t/lnJVSvj0KxRSM2kyM8UdZkiBjWjyUI7DRXdaB8/L7LXLeO99mHxmO47phS1b71maABqq+TJ7VLUTIpjeooYIXVpvW6sfC+yMg5NFaWomRTH9BQxQuqSmtFkIds0LUADsOkVGND4bTpZuiUqHkiruZrP+r/mav/1K+ZfjLUxnNXMzIxYbf7xoyz8AKWtGRfBXTkaevWoT67lcCUHNaPPybadZ3zPNaHH6FyuHPepfevnGc41+ro+vKX2XMOV44+vsNdexcW5Rp+TbTvXpKgZp6c9Roeey1LE8Lmjg5rR1wxbNitAA7BZ/4GN3raTZbFQZZfOV/EsPM3zL2Kf52IlhnuOh/U/K7lqZRy+62WlZtrwzBhNXVIz+gxsa824GWrqJvQ8kNOzY3OpGRqA+rrutWUONZPiGWvaGJxr9DnZ1nNNnTVT/OOu5hgdei5LEcPnfEnN6GuGLZsVoAHYrP/ARm/ryVLzVs/YN0dp3oAV+0Y3KzEsX/lXFKeVXLUyDt+DlpWaSVGXqWL4rkHq7a3kqpVxhPhr6ib0PFC8DbfuGJrzDDXzVXZYyVcr4/Ctm7rzOcUbUC3F4PuZPgOpmeOtcnhD8C09fQAAIABJREFUvc/5kprR1wxbNitAA7BZ/4GN3taTpVuw4tJ59y9W29vbMjY21nlrafctRrFv2SqLEbr/4l/L3L8AW4jRhgKwkqtWxhGyZmW55vYZmtPFv84OUoyQNUj5GSu5amUcofZlOR1bM5rzWWyMsjmkqv3QNUj5OSv5amUcIfZl+RabzylqxkqMEP/Un7GSq1bGEeJfV81Y+72RovZD/FN/ps25mtoq53g0AHNeXcNzc2+KvXDhQmeE77//vpw7d87waP2Htrq6Ku5/vn+uiej+V/YXun+3X0sxyuZp4b+7F7k8//zznaHcuXOn80yTJv6omePVtfnsPh1aN9ZiNJF/PjGpGR+t8G1zyecU8whXTvdJ6qZ+6xS5lkuM+lcjPgI1E29YtofQfLb2eyN0Hj7f/8osLfx3KzVjwWKQx0ADcJBXv8G5f/DBB182VRocBqER8BJwzernnnvO6zNVbUzNVCXJflIKUDMptYmViwB1k8tKMo9UAtRMKmni5CLQZM3kYtjWedAAbOvKtXzcNDNavoADOvwmT5bUzIAmXcunTc20fAEZfiMC1E0j7ARtsQA10+LFY+iNCDRZM41MmKBfCtAAJBkaEfjiiy/k9u3bndhPP/20nDx5spFxEBSBMoFHjx7J559/3tns0qVL8tRTT5V9pJb/Ts3UwspOaxCgZmpAZZfZC1A32S8xE6xYgJqpGJTdZS9gpWayhzY+QRqAxheI4SGAAAIIIIAAAggggAACCCCAAAIIIBAjQAMwRo/PIoAAAggggAACCCCAAAIIIIAAAgggYFyABqDxBWJ4CCCAAAIIIIAAAggggAACCCCAAAIIxAjQAIzR47MIIIAAAggggAACCCCAAAIIIIAAAggYF6ABaHyBGB4CCCCAAAIIIIAAAggggAACCCCAAAIxAjQAY/T4LAIIIIAAAggggAACCCCAAAIIIIAAAsYFaAAaXyCGhwACCCCAAAIIIIAAAggggAACCCCAQIwADcAYPT6LAAIIIIAAAggggAACCCCAAAIIIICAcQEagMYXiOEhgAACCCCAAAIIIIAAAggggAACCCAQI0ADMEaPzyKAAAIIIIAAAggggAACCCCAAAIIIGBcgAag8QVieAgggAACCCCAAAIIIIAAAggggAACCMQI0ACM0eOzCCCAAAIIIIAAAggggAACCCCAAAIIGBegAWh8gRgeAggggAACCCCAAAIIIIAAAggggAACMQI0AGP0+CwCCCCAAAIIIIAAAggggAACCCCAAALGBWgAGl+gXIf3xRdfyO3btzvTe/rpp+XkyZO5TpV5tVzg0aNH8vnnn3dmcenSJXnqqacamRE10wg7QQMEqJkAND4y8AJW6mbgFwIABBBAAAEEMhagAZjx4lqe2gcffCDPP/+85SEyNgSOCLz//vvy3HPPNSJDzTTCTtBIAWomEpCPD6RAk3UzkOBMGgEEEEAAgQERoAE4IAttbZo0M6ytCOPRCDT5o4ya0awQ21gToGasrQjjaYNAk3XTBh/GiAACCCCAAAJhAjQAw9z4VKTA2tqaXLhwobMX90X33LlzkXus7+MPHz6Ud955Rz799NMjQUZGRmR3d/fI/3/27Fl55ZVXZHR0VDUwYuitVKAVbrSxsfHl1ap37tyR6enpCveu31UuNeNq4+DgQD777LOouqFmqJmy6mlTzbi51J3T/fafoi5TxKjqnFyWW3X8dyvnmjrmxj4RQAABBBBAwIYADUAb6zBwo/j444/lmWee6cz73r17cv78ebMGf//3fy9LS0ve43v55ZflpZdeUn2OGHorFWiFG1nJVSvj0NCG5rPbt7ZuQmNo9+/GkksMzZpVuY2VXLUyDq1t3fkWuv8UdZkihk/ta9esyu3alq9Vzp19IYAAAggggEAaARqAaZyJckigTV90f/KTn8jm5qb3Gp4+fVquXr2q+hwx9FYq0Ao3spKrVsahoQ3NZ7dvbd2ExtDu340llxiaNatyGyu5amUcWtu68y10/ynqMkUMn9rXrlmV27UtX6ucO/tCAAEEEEAAgTQCNADTOBPFcAPQ3Ra1uroqt27dkq2tLRkfH5fLly/LzMxM5xbe69evd25Z9P0bGhqShYWFzsdyiFE2BzfPWCtNDN91iN3eyo8yK+OoM5/dvou6KcuF2Fyrcx7Waj+2Bnw/byVXrYxDk2spjp+hNZOiLlPE8KlL35yvYntL+VrFfNgHAggggAACCNgToAFob00GYkRWvui6JsPi4qKsr68fcZ+cnJT5+Xl54403oq4AzCHG66+/XurkmqWhV5i4KzO0MVIXiJVctTKOOvPZra02F6jLx1fNatZD+yzSqmrLSq5aGYd2jeo+fobWTIq6TBGjuAJQux5V1YN2P1byVTtetkMAAQQQQACB9gnQAGzfmmUxYitfdMueieSeGeT+Yp4BmEOMMoPi2Uplc+2VvBrnpp7fZCVXrYyjbI01a9nvIKb5vGabfrnmns1Z5zy09ZBqHtpnkVZ1crGSq1bGock1TU7GHj/LjuNN1qWLrakHzTZV1H7qmnFjtpKvVR0H2A8CCCCAAAII2BOgAWhvTQZiRE1/0S1uL1xeXpb9/f2e5u6WoRdffFE++ugjcW/o0/65qwdfffVV+fDDD6WuGBMTE3Lx4kW5fft26RWKofMoYrz33nt9nZyLu7ri0qVL3lbaGG4Oc3NzX96arV2L2O2aztVi/E2Po+6acfP0yQWrdWmx9lPXTdO52saacWv07LPPyttvv33sFem9jmN110yKukwRw7cuU9cMDcDYMzWfRwABBBBAAAGNAA1AjRLbVC7Q5A/Efrf/lP3IWllZKbVwVyjE/JDTxJidnfVutHX/yGpzjOLW7FS3NTaZq93J1uQ46q6Z2OaxJp9T1GWKGKG1n7JumszVNtdMd5NKc9V5SC74/MORs4yJoalLy7WfsmZoAJZ+tWIDBBBAAAEEEKhAgAZgBYjswl+gyR+IZbdj9ZqN+3HvXhTS743AxTOG6o7hXlKi+YF43Fy087AcI+XtwE3mqpVmRt357J5lRwzd8SW2LlPc2kjNSFQ+uzUqex6gO9eE5kJx/Kw7hpXzZezxJUXN0AD0/x7JJxBAAAEEEEDAX4AGoL8Zn6hAoMkfiGU/enpNT/ODS/vDKjZG2Q+rfkuknYflGEWjtYJULN1Fk7lqpQGYQ81omiqxdZkiRmxdumZI3X/UjJQ28PrlmqZhpfmHnKZjlDUoU50vY+syRc3QAKz7qMT+EUAAAQQQQMAJ0AAkDxoRaPIH4vXr1+Xg4MB73u4ZdNeuXVO9DbfuGDdu3Aiag5u0dh6WY7g5LCwseK9hyAeazFUrDcC689ndzk0M3fElti5T1A01I1H57NZI86ba0Fwojp91x7Byvow9vqSoGRqAIWdnPoMAAggggAACvgI0AH3F2L4SgSZ/IMZczeSuBChehuCuxNne3paxsbHOrVgzMzNSPJeu7hih+3eLV1w9VzYPyzG4AvCenD9/vpJa1OwkNBe0uebGQIzTojm+hDp1175mzWO2afL4bqVpHrpO3ce2uo7RKWOUzaEttR9TD9rPWqkb7XjZDgEEEEAAAQTaJ0ADsH1rlsWIm/yiG/OsMe2zgOqOEbp/lzza5+dZjqGdQxXF0mSuWmlmuFx47+d/JzPyD3JZ/lHGZVu2ZExuybdkVX5Tdk+MHEvts06h+TZoMUKdfGo/tm6omfhnAGrWIDQXBq1mnGUKK82a9dvGSt3EzoPPI4AAAggggIBdARqAdtcm65E1+UV3Z2dHbt68Kbu7u2rjkZERuXLlipw6dUr1mbpj9Nu/G+v+/r7s7e0dGavPPJqO0QvaZw6qxSrZqMlctdIA3Pnlfdn66ZxMHmwc0fpYzsqifO9IE9B3nequGTfwHGKkqMvYuqFm8si1XGom1TxyqZvYefB5BBBAAAEEELArQAPQ7tpkPbImfyCmuBKg7hih+3dJpb36w3IM7RyqKKImc9VKA3Dtzddleu2venL+XH5Llk+8cOS/+6xTaL4NWoxQJ5/aj60baibNFWehuTBoNePyOYVVLnUTOw8+jwACCCCAAAJ2BWgA2l2brEdW1w/E7ucNbW1tyfj4eK3P52sqRujzpVxSHfdctuPmYTlGr2dY9VqPmGKqK1d9x1TnOB7uPJBP3vmhnLn7rnxtf1N+NXRaHkx9RyZe+bGMnjojW9enZXz/Qc8h78kJWZYXjtwOrM01t+PQfBu0GKFOPrXvm5uHt68zV33GVuc4ys41oevkc2xrQ4wyp5xq3yc3j9u2znyNHRufRwABBBBAAIE8BGgA5rGOrZtFHV90NW80jH0boJW3Goa+/dElSk5vAdaueUyB1JGrIeOpaxyu+bd5c06+8fDukWHdH52S01eW5eR/viBDUv7m7MO3A2tzLZe6TDGPFLVfvMwoJE/dZ+rKVd/x1DUOzXEndJ1SvaE3xZuGrZwvU9RlbM1YqhvfOmN7BBBAAAEEEGiPAA3A9qxVViOt44dZ2S0+xW1PMVdNuLf9Li0t9VyLVDHcG4g3NzeDcsJdYaKZh+UYxVUy2jUPgvrnD9WRqyHjqWscZbf33rnwu/L1f3q37xWA3fPpvh1Ym2vu5To51GWKeaSoS+3LjnrlcV256ls3dY1Dc9wJXSefY5v1GJrzTIqaSRXDNz8Pb19XvsaOi88jgAACCCCAQD4CNADzWctWzaTKL7rFLUbLy8udl1/0+nNXVszNzXVejrGysuLtNT09LXfv3jURY2pqStbW1rzn4D6gnYflGLOzszI8PCzaNZ+ZmZHQKzSqzNWgBauhEdl9W978g/8iZ2Sr59Dc7b33n7oo5774SDX8BzIuN0/8oLOtJtfcdq7p4f4XktOaGNT+46XzsaJmjqa7z7km9Pjpc2wLjeHywP0DUtk/Irm6iYlRdr7MrfZjasZZWDnXqA70bIQAAggggAACrRSgAdjKZWv/oKv6otvvVqxeShMTE3JwcCAbG0ffaNrrM+6Npj5vDU4Rw3dMbm6+n/HdPkWMENvJyUmZn58PagJWlauxVVvVOA7XzMLBX6hu730oIzIq5W/O3pMh+bMTf+yda1Zzx7cGQvLTN4bv9iG21MyTFRtyrvFdp1xyx3feIfnpGyOFbUzN0ACMPUPyeQQQQAABBBDQCNAA1CixTeUCVTUzym7F6jXwFFdZpIjBlRz61PR582X3XqvKVf1Ij9+yqnEcrpkrB3/Z9wrA7tF88tS/km9+8ZEM93keoLsC8GcX/jToaj4XS3uVWuiVSSnqMkWMFLVPzXyV/aHnGm0+p7g6PbRmUtRlihgp6jK0ZmgAxp4h+TwCCCCAAAIIaARoAGqU2KZygaqaGTHPDbt69aqU/ahzX+atP2cpxTxyeZaTs/L9qypXfeMe3r6qcRyumbmDVfm2rKqGtzV0pvN24Om1v+q5vXtm4M82f7309sJeO9A+N5C6PC0pap+aeZypMecaK8fP0Jpx86+7LlPESPl8RdUB9dBGVR3jQ2LzGQQQQAABBBAYDAEagIOxzuZmWdUX3evXr3du5/X9y+lNi7zNUbf6xZrrtv5qq6py1TduXQ3AwzUzcrAr8/I3cl4+LR2iu7137z/979K3Bt/4858G1aUbgPbNwbxldUhS1L6L4fuXW824+ceca6y8DTe0ZlLUZYoYKc/7vjXjtrdSNyFj5zMIIIAAAggg0A4BGoDtWKfsRlnVF92YqzKKK1u6X4iwvb0tY2NjnbfkFg/0JsbjK43KnFySxlqliOFbTFXlqm/cuhqAx62RawLOyIcyJ6t9b+91VwCO/8maPNx5IOt/+8PO24FP7W/JztC4/PLXviOT3/2xjJ46E5wHbs7FVTpluRCbay4WMfpnZbEWvrmbW8205dhWVz6nqMsUMbrzuS6r0JqhAeh7lGF7BBBAAAEEEAgRoAEYosZnogWq+oFYdgtvr4H6PKeHGC/LSy+9pFrzXKy6J1tVrqoA+2xU1Tj6rVHZ7cDu9t4Lr71ROpXQPHA71tZmaAzt/t1YiKGv/ZxrJpdcCM3nFHWZIoa12j98IK3qGF96gGYDBBBAAAEEEBhYARqAA7v0zU68qi+67l/x33rrLfnkk0+OTKjXWwLd2wBfe+019RthiTF4Vjk3M/rl8zPf/Jfy2//nv8o3d+8eqafPRqbkzNXlzhV+ZX/9Ypw7d65ze/Cnnx695dinNqlLW3WZc824ubl8+x///b/J9Mb/lMvyjzIu27IlY3JLviX/MPKC/N9HJ46UhU8+FzHqPJ81XZfUfv8jZ1Xfi8qOz/x3BBBAAAEEEBhcARqAg7v2jc68qi+67gfNm2++KRsbG0fmc/LkSXn06NGR/9/9CPn+97/v1QAkxqgqX3JZj5ybGf3W6OzZszK89//k4v135bL8QsbkV7ItX5Nb8hty5+xvy+/94R+p6qYshmsAfvbZZ1G1mUuu5TKPnGum05zbeSAPfjJ3bHN8/cQ5eevgFdk9MfJETls71zRdl+74Qu33PpVW9b1IdbJmIwQQQAABBBAYSAEagAO57M1PuqovuqG3NFm7FYh56G81TGGVczMj1M+ZaOvGcgztHNx8Q+cxiDFyrhk3t7U3X+/79uufy2/J8okXjpxcLeVCaD5T+/rvTD7rfXivVX0v0o+WLRFAAAEEEEBg0ARoAA7aihuZr/aLbveDure2tmR8fLzWF3QQ42iCHPdShuOc3CdjX8xQtt6pYrS5mVFmGLpGzkSbC5Zj9HoRALUfV/utrpmdB/LJOz+UM3ffla/tb8qvhk7Lg6nvyMQrj19q4/62rk/L+P6DnmfQPTkhy/KCrMpvPnEloLZmUhzbLNdliuOLtdqnAWjkCynDQAABBBBAYIAEaAAO0GJbmqqmAegaGYuLi7K+vn5k6JOTkzI/Py83btzo3FLk+zc0NCQLCwud5zoRo7+es7p27Vqp0+joqFy/fj14PSzFaGszo858dibaXAityxQxqH390VK73q72W1szOw9k8+acfOPh0ede3h+dktNXHj/3cv9Hp2VIys81H8tZWZTvfdkE9DGs+/hpuS4Hsfat1o3+CMGWCCCAAAIIINA2ARqAbVuxTMaraQCW3a7kbrW5deuWbG5ueqsUVwIQo5zOWV2+fFmWlpZ6blzc9hR6hYm1GG1tZtSZz85Eu06hdZkiBrVfXvPFFtr1PvyWcM3xXT+K8C014yi7tbd483XZFYDdo+y+HdjHsO7jp+W6HMTat1o34RXHJxFAAAEEEEDAugANQOsrlOn4+v0wK25hXF5elv39/Z4C7sqKqakpWVtb81aanZ2V4eFhaXuM6enpTgO0rAkaY+Vi3L17t+9aFD/e3I/dkPXQxHBzmJubk729PVlZWfFec58YMzMzX77sQtNE8B5MwAearhk3ZK1haF2miEHt65NPs97djZuibtpUM//6578vZ2SrJ4q7tffe9O/Iwd5DuXDvHRXeAxmXmyd+0NlWY5jq2Ga5Ln2sQudhrfbd+cziuUaV5GyEAAIIIIAAAq0UoAHYymVr/6B7/UDsdwtjr1mPjIzI7u6uGmViYqJzm+pxbw5uUwzfebu5+X7Gd/sUMVKsX3GLubtFy3ozI0XNpFjXFDFS5E6KGBbr0q1fUTf379+XZ555pnM4vXfvnpw/f159fK5yQ815ZuHgL1S39t4feaZz3vjmo49Lh7gnQ/JnJ/7Y+3g7yLnjm9O+26ewDYlh8VxTmuBsgAACCCCAAAKtFaAB2Nqla/fAe/0wK7uFsdesLV1lkeIqtdArIJyf1spyjBRXchS3NVtvAMbUDFeP6o6j2pqh9h+/KfrixYumG4DdNXPl4C/7XgHYnSF3pr4nMjwiU3f+Wob7PA/QXQH4swt/GnQ1dIpjG1eO6+re53wZU/vWzjV6HbZEAAEEEEAAgbYJ0ABs24plMt5eTZW6n4HknrmTQwye5XRarl69KmXNryqeE2m9ARiTzykMB+35kTHrobFqQ+1/97vfNd0A7F6juYNV+basqs6sW0NnZPxP1kTz3MCfbf566aMZjgua0zMqNfmcyzk5dh7uWGzlXKMqBjZCAAEEEEAAgVYK0ABs5bK1f9C9vujW/RbEXN5Uy9sc073F2cqPsjpqJsWbsC293TmH40sbav8P/uAPTDcAu/Ng5GBX5uVv5Lx8Wnpidbf2Dv/ogTxUvDn4xp//NPiN6CnqMkUMar80pTobFG8mt3Ku0Y2arRBAAAEEEECgjQI0ANu4ahmMuY4rAN2/oBcvEHFXyWxvb8vY2FjnDbbdD9qOuULHSozQObjUKa4wKbOyHKOYg5tPXfMoYlj5UVZXzaQwLFsjN4bQfNPmcy4xQp1S1n6brgB0Lq4JOCMfypys9r21t7gCsFMzOw9k/W9/KF//p3fl1P6W7AyNyy9/7Tsy+d0fy+ipM9H5nKIuU8Sg9su/sFk715SPmC0QQAABBBBAoK0CNADbunItH3fVzwAsnqGjYXG3jb7387+TGfkHuSz/KOOyLVsyJrfkW7Iqvym7J0aO3Y1vjKWlJc1wnthGG6Ps1td+gXOIoZ2Dcwi1svZcpqZrps58rmKdNMUWmwsWYoTOwY1dWzexMdr0DMDuNS27HfjOhd+VC6+9oUmD6OOOJkjoOmnzgLrU10wVVlb+sUmTe2yDAAIIIIAAAu0UoAHYznVr/ah7fdHd2dmRmzdver3V170N8MqVK3Lq1CmVy84v78vWT+dk8mDjyPYfy1lZlO8daQJ6x6h5Hv2c3Fj39/dlb2/vyPx85tF0jF6L6TMHt4/YnLLyo6zRmqk5n6tYJ03xx+aChRhN16Xm+OJeLmP5LcC9DPvdDrx+4pyM/4dlOfX1b2jSIPq4owmSQz5T+199f7FyrtHkHtsggAACCCCAQDsFaAC2c91aP+omr2Yqe4D7z+W3ZPnEC0eMLV01EXrlh5uUdh6WY2jn4OYbOg+uAPyqBGINNQcsYrws7kUCZX+hTilrv61XADqj4nbgy/ILGZNfybZ8TW7Jb8iqPCsvfvvfqNaoiuNOWR4QQ38ua4sVDUBN1rMNAggggAACCMQI0ACM0eOzwQJ1Pc/MPZfpk3d+KGfuvitf29+UXw2dlgdT35GJVx4/l8n9bV2flvH9Bz3HvicnZFleOHI78HHPGtva2pLx8fFanzN4XIyqnwPWthi9ngFY5TysPZeprppxhdD9nK46DMv278YQmtOW6jLFPEKd3Ni0VrEx2vYMQO2JLOVxJ0VdpohB7Zdnl7VzTfmI2QIBBBBAAAEE2ipAA7CtK9fycdfxRtNr//Hfy+bNOfnGw7tHdO6PTsnpK8udJuD+j07LkByUCh6+Hdi9qc/KWw3b8CZQjVXoPIq3Jrofl4uLi7K+vn5kPScnJ2V+fl5iY1i5KqOOmuFNoKWHgc4G1L7OqbBq01uA9TP76m2tKY47OcTQnANGR0clh7dzx87DHYutnGt8aoJtEUAAAQQQQKBdAjQA27Ve2Yy2jquZ/t34/5Lptb/qaVQ8wL3sCsDuHXTfDuz+ld69UbjfyxCK20ZDr6DRxnBvOXbP2Qr5yyFGccVE2e2Qbj1CraxdlVFHzbi3WtdtaKVm3O21dddlihih+eyOFalqP/crAOuumRR1mSIGta87Q1s71+hGzVYIIIAAAggg0EYBGoBtXLUMxlz1MwCnp6fl395ZkDOy1VPH3dp7b/p35GDvoVy4945K8YGMy80TP+hs62LcvXu384KNXn/uSqG5ubnOCzhWVlZUMbo30saYmpqStbU17/37zMNyjNnZWRkeHpbl5eXS9QidR+7PAHS55prIZY1kl9Ohhpp8LhpT7kdwSE5rYqSqS2r/8XPZ2vwMwH4H1RTHnRQxqH39qTPF8cXauUavw5YIIIAAAggg0DYBGoBtW7FMxturAdjvtqdeU3dvpdzd3ZWFg79Q3dp7f+QZOTg4kG8++rhUc0+G5M9O/LEUMUo/8M8bTExMdGJsbBx903DZPLQxfMfk9uv7Gd/tU8RIYVvcPuxu67JyW1YdNaPNtRTrmiJGitxJEcNiXbr1K+rm/v37pt8CHHKeSbGuKWJYzR3fcflun8I2JIbFc43PeYFtEUAAAQQQQKBdAjQA27Ve2Yy2X1OleGi479VdVw7+su8VgN14d6a+JzI8IlN3/lqG+zwP0F0B+LMLfxp0ZRJXcujTNcVVFj4xZmZmxDX/3J/1BqAbY2jN6Ffo8ZZaw9ArBlPESFGXKWJYu4rL3e5Z1E1uNZPiys4UMSzX5SDWvltzi+ca3/MC2yOAAAIIIIBAewRoALZnrbIaqeYHou9zluYOVuXbsqpy2ho6I+N/siZrb75e+tzAn23+eultkscFTfmcOl8rFdI/b6R9bliK55+litHto8lVH8/QbTXjqDMP3Li1uWD5OXU51aWl57jlXDOpjjt1P6PScl2mOL5Yq32XVxbrJvQcxecQQAABBBBAwL4ADUD7a5TlCDXNDN+3II4c7Mq8/I2cl09LzdytvcM/eiAPdx6Uvjn4xp//tHM7r+9fyjfV+lr5zMXSG1Bj37SofSulxR9lddSMTx64bbW5EPrm5RQxcqpLS29xzrlmUh136n4bruW6HMTaL64yL2pHc4z3PWazPQIIIIAAAggg0C1AA5B8aERA+0W3uLXRXbmwvb0tY2NjnTfxFrfNHL5iwjUBZ+RDmZPVvrf2FlcAusm7JuD63/5Qvv5P78qp/S3ZGRqXX/7ad2Tyuz+W0VNnot4c6q7Q6cR4+FBWV1c7b6TVzEO7KMUVDSlilM3BjSHmChZnZSVGW5sZdeaB23eRb2XrFJoHKWKkrJk61yPlPMrW+/DxSnt81x7nQrfTjkMzv9Cc1tZMiuNn6BxS1GWKGClrRlP7VusmtN74HAIIIIAAAgjYF6ABaH+Nshyh9odZ2eR73fJYdjvwnQu/Kxdee6Ns953/XnZbZa+dFG/20wQhxsv+yNSNAAAdlklEQVRy+HaoXm4prNrcACzLt1A/t19tTluOoZ0Dta9fb6uNjKrOM7nkguW6THF8sVb7Vuum7BzCf0cAAQQQQACB9grQAGzv2rV65FX9MHNXbrz11lvyySefPOHhrgR87cQ7Mnlw9C28n41MyZmry52r+zR/vWK4z/Z6E6F7G+Brr7325YskyuIQw5ZVzg3Afrl27ty5zu3un3569DZ6n5xuOgZ1+eQRJ8XxJeeacXNLYVh3jKbrMsXxpU21TwOw7JsR/x0BBBBAAAEEqhagAVi1KPtTCVTZAHzzzTdlY+Noo+9fDO/Lc4/el8vyCxmTX8m2fE1uyW/InbO/Lb/3h3/k1ZzrFePkyZPy6NGjI3N2P3S+//3vE6NLpk1WOTczXBOgVz6fPXu20wD87LPPonK66RhtyrV+Vm2aR841UzQA234eaLouUxxf2lozLseq+l6k+hLGRggggAACCCAwkAI0AAdy2ZufdFVfdENvabJ2KxDz4Bbgsqpsumbc+LR1E5rPKWJo5+DGEjqPQYyRewMwh1wInUOKukwRw1pdHj7mV3WMLzuX8N8RQAABBBBAYHAFaAAO7to3OvOqvuiGPtS818PAt7a2ZHx8vO+LRrRwucXoflD+cU7OJXY9UsTQrl+xXVW56hu3rh+HoWvkxnPcCw2qrJkUMXKrS2dWVjeha95t5ZO/udVMW45tdeVBirpMESN17fvUjNvWSt34jpvtEUAAAQQQQKA9AjQA27NWWY20qi+6169f79yy6Ps3NDQkCwsLnR/Oi4uLsr6+fmQXk5OTMj8/Lzdu3Bj4GNeuXSt1Gh0dlZj1SBHDrbnvX1W56hu3rgZg6Bq58bi60axTaM2kiEHt6zOxsNJ/4vGWudWMm1No3WhrJsXx03Jd5lb7vjVjqW5Cxs5nEEAAAQQQQKAdAjQA27FO2Y2yqh+IsVe2lN0S5W4ZunXrlmxubnqvQXG1QQ4xLl++LEtLSz0NilurYtYjRYyrV696r2NVueod+NAHqhpH6Bq54bic1qxTaM2kiJFTXbp8TnF88c3dqnLVN25dTXO339C60daMewt63TEs12VutR+Su1bqJmTsfAYBBBBAAAEE2iFAA7Ad65TdKKv6olv247cX3OzsrAwPD8vy8rLs7+/39HVXb0xNTcna2pr3GqSIMT093WlOljUoY+bhYty9e7evU/Hjzf3YDbHSxHBzmJubk729PVlZWfFeD5/nP3XvvKpc9R5wTQ3A0Jpxw9GuU2jNpIiRoi5TxEhR+9TMV0UYWjfamok5tmljWK7LXGo/tGbc/K2ca2LPVXweAQQQQAABBOwK0AC0uzZZj6yqL7r9buHtBTgxMdG5pfe4Nwf3+szIyIjs7u6q1yRFDN8xucH7fsZ3+xQxQmyL27ndbXa+f1Xlqm/cw9tXNY6QmkmxrilihOSObw2kiOE7phBbaubJCgypG991yiV3fOcdkp++MVLYxtQMDcDYMySfRwABBBBAAAGNAA1AjRLbVC5QVTPDDax48Lnmar4UV1mkiMGVHPorON16zMzMSEjzz9KPsjpqRnNLIFeP6q98zKX2qZnjT3k+55rQY3QuV49qrkp0yu6qcctXjmvmUVydHnOesXSuqfwLHztEAAEEEEAAATMCNADNLMVgDaTKZkYhV3aLVlueU9f2Z6wVP+rqnIfPc9zcs7Vi/urI1ZDx1DUOTd1oGoXHzcnS889SPGMtRYzQtfCpS2qmf4XWXTOpnu1Y9zw054AUNZMqRshxvfszdR3jY8fF5xFAAAEEEEAgHwEagPmsZatmUscXXc0bfVO8aTFFDN7mqH+Lc+iVf0VB1ZGrIcVa1zg0dROab5begJqiLlPECF0Ll3M+6xGSo9SMCG+Pf5wFPrmWwxuWY88zzqyuY3xMLfNZBBBAAAEEEMhLgAZgXuvZmtnU9UW3uEXLXSWzvb0tY2NjnbeWdt+aE/OmRXdlhoUYoXNwCVJcPVc2D8sxijm4+ZTNI7Yo6spV33HVOY4yw9Bc0OaasyDGadEcX0KdfGrfNzcPb19nrvqMrc5x1F0zmmNbaC74HD9jY5Q55VT7Prl53LZ15mvs2Pg8AggggAACCOQhQAMwj3Vs3Sya/KJbdttTL0yft/vVHSN0/25u2nlYjqGdQxWF0WSudo+/yXGE5oLPOhHjZdHcehvq5FP7sXXTZK5SM+WrR12WGxVb+Fjp93r8llbqJnYefB4BBBBAAAEE7ArQALS7NlmPrMkvujs7O3Lz5k2vt/q6Nw5euXJFTp06pVqXumP0278b6/7+vuzt7R0Zq888mo7RC9pnDqrFKtmoyVy10syoO5/dPImhO76kqMvYuqFmyGdL58tUx5dc6iZ2HnweAQQQQAABBOwK0AC0uzZZj6zJH4ihV9D4XAlQd4zQ/buk0s7DcgztHKoooiZz1UoDMDQXfNaJGFwBWEW9UjPlitRluVGxhY+Vfq/Hb2nlXBM7Dz6PAAIIIIAAAnYFaADaXZusR9bkF93YZxppFqbuGKH7d2Pvfv5Tv7lYjqGdg2atyrZpMletNDNCc8FnnYjx+BmAZX+hTj61XzaGsv9OzcQ/07LM2P330FygLjW6j7fxsdLvlQZgrBWfRwABBBBAAIEwARqAYW58KlKgyR+IMW8cXFhYeOKlE1tbWzI+Pn7kRSN1xwjdv1s293ZGzTwsxyjmEJmGqo83matWGoChuaDNNTdPYqSrS1XiR2xEzcTns+PvfoHGceea2JpJEaNsDm2p/YhyUH/USt2oB8yGCCCAAAIIINA6ARqArVuyPAbc5BfdmKsmXn/9dVlcXJT19fUjCzE5OSnz8/MyOjoadWWGJsYbb7whm5ubQcngrmhoe4xBvCqDmjk+3bX5nKIuU8SIrX3NVYZBB5auDzWZq1aa5jHnmeJt0GXnmtBc6H47d50xNOeZFDUTGyNFzbi8tVI3sfXP5xFAAAEEEEDArgANQLtrk/XImvyiG/OsMbcoS0tLPdemeF5Q3THKxtEvedwYyz6v2abJGIP4XCZq5viM0+Rqqrp0b/G1XvuaNw3HnnyazFUrDcCYPNDkkSbve62jth5iY2jOM5q59ptHihgpaoYGYOxRh88jgAACCCCAgEaABqBGiW0qF2jyB6K7JanXVQ+9JjoxMSEXL16U9957r/OG3V5/7pbHubk5efbZZ+Xtt98+9krBKmK8+OKL8tFHH8nGxobX2vjMw2qM7istvSYfuHGTuWqlmVFnzbg5uiuSLl265J3TPvmcoi5TxAity5R1Q808vn3X9zzj1ujVV1+VDz/8UJaXl0vPNSG5UNTM7du3S68id+ezmBhl50vrtZ+yZmgABp6g+RgCCCCAAAIIeAnQAPTiYuOqBJr+gVg8l6jf1XzFXGdnZ70bE90/5OqK4fNDzs0lZB5FjJWVldKlj23iaGK4K1JmZmY6t1mn+ms6V4t5Nj2OumvGzdMn30LyOUVdpojhW/up66bpXG1jzbg1ivmHI83xM6RmUtRlihi+dZm6ZmgApjqjEwcBBBBAAIHBFqABONjr39jsrfxALHtOk2tqXb58ue9tv70Qi9uscohx69atvleLFM+UirntTRsjddJayVUr46gzn93aurrR5AJ1+bK4WxM165HqGWZWGm/WxqFdo7qPn6E1k6IuU8TwOSenrhkagKnP7MRDAAEEEEBgMAVoAA7mujc+ayvNjLIfXJpmRC9MbVOsDTHKfjhqf1j1s9LGSJ28VnLVyjjqrBm3tpqmextqxjUQ6rTyOb6keoaZtcZbm2pG08yNPX6WNdb7HVvrrktrtZ+6ZmgApj6zEw8BBBBAAIHBFKABOJjr3visrfww6/ecpuL5Pzdu3JCDgwNvM/f8pIWFhb7PgmpLjGvXrqnefnz9+vVgK20M74WI/ICVXLUyjjprxi2VqxtNLlCX+uNLylvmLTUy2lQzbo3qPn6G1kyKukwRw+ecnLpmLNVN5CmTjyOAAAIIIICAYQEagIYXJ+ehWflh5oyLZ5u5qyO2t7dlbGysc9tv8ay5stu3eq1TcYVOLjHKnNw8Y600MVLXhZVctTKOOvPZ7buom7JciM21OudhrfapGZF79+7J+fPnU1N8Ga8sn1McP0NrJkVdpojhU5dNJIqlY3wT8ycmAggggAACCNQvQAOwfmMiHCPQpi+6Zbfx9Vrg4rZYTQIQ4/HzzCz+WclVK+PQrFFoPrt9a+smNIZ2/24sucTQrFmV21jJVSvj0NrWnW+h+09Rlyli+NS+ds2q3K5t+Vrl3NkXAggggAACCKQRoAGYxpkohwTa9EV3Z2dHbt68Kbu7u+p1HBkZkStXrsipU6dUnyGG3koFWuFGVnLVyjg0tP3y2dXG/v6+7O3tHdmVT91QM9RMWS62qWbcXOrO6abrsk21X5Zbdfz3tuVrHQbsEwEEEEAAAQTqFaABWK8ve+8h0KYvuqFXTfhcbUAMrgAsO1gMQs04A23dUDPUTE414+ZSd06H7j9FXaaIoT22lOVVXf+9Tcf4ugzYLwIIIIAAAgjUK0ADsF5f9p5BAzD0uUm9nje0tbUl4+PjtT5nsI4Y3c+wOm7/bqmrsLJWNFZ+lFkZh2Z9QvPA7fu4ZwDWkc8uVllOh84jde1r1iTlNlZy1co4tPax+VZXPqeoyxQxuutSuyYpt2tbvqa0IRYCCCCAAAIIVCNAA7AaR/biKdCmL7oxb2bkLcC6xCjezqjbOu1WVnLVyjg0+qE14/bNW4A1wo+d3PHF4p+VXLUyDu0ahdZN3TWToi5TxLBcM27+bctXbV6zHQIIIIAAAgjYEaABaGctBmokbfqiG3tVRtltV+62JPcG4s3NTe8cKK5oqDuGeyvy0tJSz/EVt1bFWnkDJPiAlVy1Mg4NeWgeuH27nNbkm/WauXr1auktnVXUvmY9Um9jJVetjEPrH1o3dddMirpMEYMrALWZyHYIIIAAAgggkKsADcBcV9b4vNr0w6ysudaLenZ2VoaHh2V5ebnz0oNef+6qhKmpKVlbW/Netenp6U7jsKx5GBvj7t27fedQ/HhzP7BC5mH52UxWctXKODRJGlozbt8up8vyLSafU9RlihjUTHkmtqlm3GxC66bumklRlyliWK4ZN/+25Wt5BbIFAggggAACCFgToAFobUUGZDxt+qLrnqu0uLgo6+vr6tWZmJiQg4MD2djYUH/GvSHR903DPtu7gViMMTk5KfPz8zI6Oqq2SrmhlVy1Mg6NfUjNpMjPFHWZIgY1o8nC9jVUQurG4jHdd0wpat96zdAA1NU0WyGAAAIIIIBAnAANwDg/Ph0o0KZmhpti8XB1zdV8c3Nzsre3JysrK946g3Ylh7OamZkx2/yz9KMs15pxxu7K0dCrR7U1k6IuU8WgZnSH1rbVjO+5ZtCvHPepfes1Y+lco6sutkIAAQQQQACBNgrQAGzjqmUw5jb+MHPsZbdoVfEsvDqff1Y0W6zEeOmll8xns5VctTIO3wWzUjMu1+p+xlqqGL5rkHp7K7lqZRwh/pq6sf4cTM15hpr5KjvanK8hOc5nEEAAAQQQQCC9AA3A9OZEbPGzbvrdotV9ixFvcxySa9eu9bx1ug23YxWFauVHmZVx+B7ArNSMu8W87rpMFcN3DVJvbyVXrYwjxF9TNzdu3Og8asL3r3gbbt0xtOeAFHXpa9TE9m3O1ya8iIkAAggggAAC/gI0AP3N+EQFAm3+olvcDuyuvtje3paxsbHOW0u7bzGKudLIvT20LEbo/t3SFW9CtBCjglSqfRdWctXKOELAy3LN7TM0p7X5nFOMkDVI+RkruWplHKH2ZXUTWzNuXHXHKNt/qroMXYOUn2t7vqa0IhYCCCCAAAIIhAnQAAxz41ORAu5NsRcuXOjs5f3335dz585F7tHWx1dXV8X9z/fPNRHd/8r+Qvfv9mspRtk8Lfx39yKX559/vjOUO3fudN5S28QfNXO8ujaf3adD68ZajCbyzycmNeOjFb5tLvmcYh7hyuk+aaVu0s2YSAgggAACCCCQWoAGYGpx4nUEPvjggy+bKpAg0BYB16x+7rnnGhkuNdMIO0EjBaiZSEA+PpACTdbNQIIzaQQQQAABBAZEgAbggCy0tWnSzLC2IoxHI9DkjzJqRrNCbGNNgJqxtiKMpw0CTdZNG3wYIwIIIIAAAgiECdAADHPjU5ECX3zxhdy+fbuzl6efflpOnjwZuUc+jkA9Ao8ePZLPP/+8s/NLly7JU089VU+gkr1SM42wEzRAgJoJQOMjAy9gpW4GfiEAQAABBBBAIGMBGoAZLy5TQwABBBBAAAEEEEAAAQQQQAABBBBAgAYgOYAAAggggAACCCCAAAIIIIAAAggggEDGAjQAM15cpoYAAggggAACCCCAAAIIIIAAAggggAANQHIAAQQQQAABBBBAAAEEEEAAAQQQQACBjAVoAGa8uEwNAQQQQAABBBBAAAEEEEAAAQQQQAABGoDkAAIIIIAAAggggAACCCCAAAIIIIAAAhkL0ADMeHGZGgIIIIAAAggggAACCCCAAAIIIIAAAjQAyQEEEEAAAQQQQAABBBBAAAEEEEAAAQQyFqABmPHiMjUEEEAAAQQQQAABBBBAAAEEEEAAAQRoAJIDCCCAAAIIIIAAAggggAACCCCAAAIIZCxAAzDjxWVqCCCAAAIIIIAAAggggAACCCCAAAII0AAkBxBAAAEEEEAAAQQQQAABBBBAAAEEEMhYgAZgxovL1BBAAAEEEEAAAQQQQAABBBBAAAEEEKABSA4ggAACCCCAAAIIIIAAAggggAACCCCQsQANwIwXl6khgAACCCCAAAIIIIAAAggggAACCCBAA5AcQAABBBBAAAEEEEAAAQQQQAABBBBAIGMBGoAZLy5TQwABBBBAAAEEEEAAAQQQQAABBBBAgAYgOYAAAggggAACCCCAAAIIIIAAAggggEDGAjQAM15cpoYAAggggAACCCCAAAIIIIAAAggggAANQHIAAQQQQAABBBBAAAEEEEAAAQQQQACBjAVoAGa8uEwNAQQQQAABBBBAAAEEEEAAAQQQQAABGoDkAAIIIIAAAggggAACCCCAAAIIIIAAAhkL0ADMeHGZGgIIIIAAAggggAACCCCAAAIIIIAAAjQAyQEEEEAAAQQQQAABBBBAAAEEEEAAAQQyFqABmPHiMjUEEEAAAQQQQAABBBBAAAEEEEAAAQRoAJIDCCCAAAIIIIAAAggggAACCCCAAAIIZCxAAzDjxWVqCCCAAAIIIIAAAggggAACCCCAAAII0AAkBxBAAAEEEEAAAQQQQAABBBBAAAEEEMhYgAZgxovL1BBAAAEEEEAAAQQQQAABBBBAAAEEEKABSA4ggAACCCCAAAIIIIAAAggggAACCCCQsQANwIwXl6khgAACCCCAAAIIIIAAAggggAACCCBAA5AcQAABBBBAAAEEEEAAAQQQQAABBBBAIGMBGoAZLy5TQwABBBBAAAEEEEAAAQQQQAABBBBAgAYgOYAAAggggAACCCCAAAIIIIAAAggggEDGAjQAM15cpoYAAggggAACCCCAAAIIIIAAAggggAANQHIAAQQQQAABBBBAAAEEEEAAAQQQQACBjAVoAGa8uEwNAQQQQAABBBBAAAEEEEAAAQQQQAABGoDkAAIIIIAAAggggAACCCCAAAIIIIAAAhkL0ADMeHGZGgIIIIAAAggggAACCCCAAAIIIIAAAjQAyQEEEEAAAQQQQAABBBBAAAEEEEAAAQQyFqABmPHiMjUEEEAAAQQQQAABBBBAAAEEEEAAAQRoAJIDCCCAAAIIIIAAAggggAACCCCAAAIIZCxAAzDjxWVqCCCAAAIIIIAAAggggAACCCCAAAII0AAkBxBAAAEEEEAAAQQQQAABBBBAAAEEEMhYgAZgxovL1BBAAAEEEEAAAQQQQAABBBBAAAEEEKABSA4ggAACCCCAAAIIIIAAAggggAACCCCQsQANwIwXl6khgAACCCCAAAIIIIAAAggggAACCCBAA5AcQAABBBBAAAEEEEAAAQQQQAABBBBAIGMBGoAZLy5TQwABBBBAAAEEEEAAAQQQQAABBBBAgAYgOYAAAggggAACCCCAAAIIIIAAAggggEDGAjQAM15cpoYAAggggAACCCCAAAIIIIAAAggggAANQHIAAQQQQAABBBBAAAEEEEAAAQQQQACBjAVoAGa8uEwNAQQQQAABBBBAAAEEEEAAAQQQQAABGoDkAAIIIIAAAggggAACCCCAAAIIIIAAAhkL0ADMeHGZGgIIIIAAAggggAACCCCAAAIIIIAAAjQAyQEEEEAAAQQQQAABBBBAAAEEEEAAAQQyFqABmPHiMjUEEEAAAQQQQAABBBBAAAEEEEAAAQRoAJIDCCCAAAIIIIAAAggggAACCCCAAAIIZCxAAzDjxWVqCCCAAAIIIIAAAggggAACCCCAAAII0AAkBxBAAAEEEEAAAQQQQAABBBBAAAEEEMhYgAZgxovL1BBAAAEEEEAAAQQQQAABBBBAAAEEEKABSA4ggAACCCCAAAIIIIAAAggggAACCCCQsQANwIwXl6khgAACCCCAAAIIIIAAAggggAACCCBAA5AcQAABBBBAAAEEEEAAAQQQQAABBBBAIGMBGoAZLy5TQwABBBBAAAEEEEAAAQQQQAABBBBAgAYgOYAAAggggAACCCCAAAIIIIAAAggggEDGAjQAM15cpoYAAggggAACCCCAAAIIIIAAAggggAANQHIAAQQQQAABBBBAAAEEEEAAAQQQQACBjAVoAGa8uEwNAQQQQAABBBBAAAEEEEAAAQQQQAABGoDkAAIIIIAAAggggAACCCCAAAIIIIAAAhkL0ADMeHGZGgIIIIAAAggggAACCCCAAAIIIIAAAjQAyQEEEEAAAQQQQAABBBBAAAEEEEAAAQQyFqABmPHiMjUEEEAAAQQQQAABBBBAAAEEEEAAAQRoAJIDCCCAAAIIIIAAAggggAACCCCAAAIIZCxAAzDjxWVqCCCAAAIIIIAAAggggAACCCCAAAII0AAkBxBAAAEEEEAAAQQQQAABBBBAAAEEEMhYgAZgxovL1BBAAAEEEEAAAQQQQAABBBBAAAEEEKABSA4ggAACCCCAAAIIIIAAAggggAACCCCQsQANwIwXl6khgAACCCCAAAIIIIAAAggggAACCCBAA5AcQAABBBBAAAEEEEAAAQQQQAABBBBAIGMBGoAZLy5TQwABBBBAAAEEEEAAAQQQQAABBBBAgAYgOYAAAggggAACCCCAAAIIIIAAAggggEDGAjQAM15cpoYAAggggAACCCCAAAIIIIAAAggggAANQHIAAQQQQAABBBBAAAEEEEAAAQQQQACBjAVoAGa8uEwNAQQQQAABBBBAAAEEEEAAAQQQQAABGoDkAAIIIIAAAggggAACCCCAAAIIIIAAAhkL0ADMeHGZGgIIIIAAAggggAACCCCAAAIIIIAAAjQAyQEEEEAAAQQQQAABBBBAAAEEEEAAAQQyFqABmPHiMjUEEEAAAQQQQAABBBBAAAEEEEAAAQRoAJIDCCCAAAIIIIAAAggggAACCCCAAAIIZCxAAzDjxWVqCCCAAAIIIIAAAggggAACCCCAAAII0AAkBxBAAAEEEEAAAQQQQAABBBBAAAEEEMhYgAZgxovL1BBAAAEEEEAAAQQQQAABBBBAAAEEEKABSA4ggAACCCCAAAIIIIAAAggggAACCCCQsQANwIwXl6khgAACCCCAAAIIIIAAAggggAACCCBAA5AcQAABBBBAAAEEEEAAAQQQQAABBBBAIGMBGoAZLy5TQwABBBBAAAEEEEAAAQQQQAABBBBAgAYgOYAAAggggAACCCCAAAIIIIAAAggggEDGAjQAM15cpoYAAggggAACCCCAAAIIIIAAAggggAANQHIAAQQQQAABBBBAAAEEEEAAAQQQQACBjAVoAGa8uEwNAQQQQAABBBBAAAEEEEAAAQQQQAABGoDkAAIIIIAAAggggAACCCCAAAIIIIAAAhkL0ADMeHGZGgIIIIAAAggggAACCCCAAAIIIIAAAjQAyQEEEEAAAQQQQAABBBBAAAEEEEAAAQQyFvj//1pkY3+hBCMAAAAASUVORK5CYII=\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "\n",
    "loops = all_valid_strings\n",
    "\n",
    "for i in range(len(loops)):\n",
    "    plt.subplot(7, 5, i+1)\n",
    "\n",
    "    plt.scatter(trap_positions_desired[:, 0],\n",
    "            trap_positions_desired[:, 1], c='grey', s=5)\n",
    "    \n",
    "    plt.scatter(trap_positions_desired[loops[i], 0],\n",
    "                trap_positions_desired[loops[i], 1], c='C1', s=5)\n",
    "    \n",
    "    plt.xticks([])\n",
    "    plt.yticks([])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "loops_same_size = all_valid_strings\n",
    "[P_average_loops, P_err] = parity_mean(loops_same_size,ryd_this_param,relevant_reps_per_param)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "    if (this.ratio !== 1) {\n",
       "        fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n",
       "    }\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    var resizeObserver = new ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    resizeObserver.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.one(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Plot parity on the loop vs delta/Omega and selected loop\n",
    "\n",
    "plt.figure(figsize=(8,4))\n",
    "plt.subplot(121)\n",
    "plt.errorbar(delta_Omega, P_average_loops, yerr=P_err, marker='o', c='xkcd:dark coral', markersize=5, \n",
    "         markerfacecolor='xkcd:light salmon', markeredgewidth=1.5, markeredgecolor='xkcd:dark coral')\n",
    "plt.xlabel('$\\Delta/\\Omega$')\n",
    "plt.ylabel(r'$\\langle X \\rangle$')\n",
    "\n",
    "plt.axhline(y = 0, c='k', ls = '--',lw = 0.8)\n",
    "\n",
    "plt.subplot(122)\n",
    "plt.scatter(trap_positions_desired[:, 0],\n",
    "            trap_positions_desired[:, 1], c='grey', s=20)\n",
    "plt.scatter(trap_positions_desired[loops_same_size[0], 0],\n",
    "            trap_positions_desired[loops_same_size[0], 1], c='xkcd:dark coral', s=30)\n",
    "\n",
    "plt.xticks([])\n",
    "plt.yticks([])\n",
    "draw_kagome_backbone()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Rydberg density"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "l1 = np.load('LOOPS/large_nohole/edges.npz')['l1']\n",
    "l2 = np.load('LOOPS/large_nohole/edges.npz')['l2']\n",
    "l3 = np.load('LOOPS/large_nohole/edges.npz')['l3']\n",
    "layers = [l1,l2,l3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "only_bulk = True\n",
    "only_boundary = False\n",
    "layers_to_remove = 3\n",
    "\n",
    "traps_to_remove = []\n",
    "for l in np.arange(layers_to_remove):\n",
    "    traps_to_remove.extend(layers[l])\n",
    "    \n",
    "trap_positions_bulk = np.delete(trap_positions_desired, traps_to_remove, 0)\n",
    "rydberg_populations_bulk = np.delete(rydberg_populations_desired, traps_to_remove, 0)\n",
    "ryd_this_param_bulk = np.delete(ryd_this_param, traps_to_remove, 0)\n",
    "\n",
    "trap_positions_boundary = trap_positions_desired[traps_to_remove]\n",
    "rydberg_populations_boundary = rydberg_populations_desired[traps_to_remove]\n",
    "ryd_this_param_boundary = ryd_this_param[traps_to_remove]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "mean_rydberg_per_param = np.zeros(len(params))\n",
    "std_rydberg_per_param = np.zeros(len(params))\n",
    "\n",
    "if only_bulk:\n",
    "    trap_positions = trap_positions_bulk\n",
    "    rydberg_populations = rydberg_populations_bulk\n",
    "    ryd_per_param = ryd_this_param_bulk\n",
    "    for par in np.arange(len(params)):\n",
    "        mean_rydberg_across_traps_per_shot = np.mean(ryd_per_param[:,par,:], axis = 0)\n",
    "        mean_rydberg_per_param[par] = np.mean(mean_rydberg_across_traps_per_shot)\n",
    "\n",
    "elif only_boundary:\n",
    "    trap_positions = trap_positions_boundary\n",
    "    rydberg_populations = rydberg_populations_boundary\n",
    "    ryd_per_param = ryd_this_param_boundary\n",
    "    for par in np.arange(len(params)):\n",
    "        mean_rydberg_across_traps_per_shot = np.mean(ryd_per_param[:,par,:], axis = 0)\n",
    "        mean_rydberg_per_param[par] = np.mean(mean_rydberg_across_traps_per_shot)\n",
    "    \n",
    "else:\n",
    "    trap_positions = trap_positions_desired\n",
    "    rydberg_populations = rydberg_populations_desired\n",
    "    ryd_per_param = ryd_this_param"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "    if (this.ratio !== 1) {\n",
       "        fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n",
       "    }\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    var resizeObserver = new ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    resizeObserver.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.one(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "\n",
    "plt.scatter(trap_positions_desired[:,0], trap_positions_desired[:,1], s=40, c='grey')\n",
    "plt.scatter(trap_positions[:,0], trap_positions[:,1], s=40, c='C1')\n",
    "    \n",
    "plt.xticks([])\n",
    "plt.yticks([])\n",
    "plt.axis('off')\n",
    "plt.gca().set_aspect(1)\n",
    "\n",
    "draw_kagome_backbone()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Mean Rydberg population"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "    if (this.ratio !== 1) {\n",
       "        fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n",
       "    }\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    var resizeObserver = new ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    resizeObserver.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.one(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"1000\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0.98, 'Mean Rydberg populations per parameter')"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "### plot mean Rydberg populations per parameter\n",
    "\n",
    "mean_ryd_pop_per_param = np.zeros(len(params))\n",
    "std_ryd_pop_per_param = np.zeros(len(params))\n",
    "var_ryd_pop_per_param = np.zeros(len(params))\n",
    "\n",
    "plt.figure('Mean Rydberg population per parameter', figsize=(10,1.5*len(params)/5))\n",
    "\n",
    "for p in np.arange(len(params)):\n",
    "    mean_ryd_pop_this_param = np.mean(ryd_per_param[:,p,relevant_reps_per_param[p]], axis=-1)\n",
    "    mean_ryd_pop_per_param[p] = np.mean(ryd_per_param[:,p,relevant_reps_per_param[p]])\n",
    "    std_ryd_pop_per_param[p] = np.std(np.mean(ryd_per_param[:,p,relevant_reps_per_param[p]], axis=0))\n",
    "    var_ryd_pop_per_param[p] = np.var(np.mean(ryd_per_param[:,p,relevant_reps_per_param[p]], axis=0))\n",
    "    plt.subplot(int(len(params)/5)+1,5,p+1)\n",
    "    ax = plt.gca()\n",
    "    ax.set_aspect('equal')\n",
    "\n",
    "    scatter = ax.scatter(trap_positions[:,0], trap_positions[:,1], \n",
    "                         c=mean_ryd_pop_this_param, \n",
    "                         s = 100/np.max(trap_positions), marker ='o')                 \n",
    "\n",
    "    plt.title('$\\delta/\\Omega$ = %.2f'%delta_Omega[p])\n",
    "    plt.xticks([])\n",
    "    plt.yticks([])\n",
    "\n",
    "plt.suptitle('Mean Rydberg populations per parameter')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
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       "        return WebSocket;\n",
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       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "    if (this.ratio !== 1) {\n",
       "        fig.send_message('set_dpi_ratio', { dpi_ratio: this.ratio });\n",
       "    }\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    var resizeObserver = new ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    resizeObserver.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.one(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"600\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax1 = plt.subplots(figsize=(6,3.5))\n",
    "\n",
    "ax1.plot(delta_Omega, mean_ryd_pop_per_param, marker='o', c='C7')\n",
    "ax1.set_ylabel(r'$\\langle n \\rangle$', color = 'C7', fontsize=16)\n",
    "ax1.tick_params(axis = 'y', labelcolor = 'C7')\n",
    "ax1.set_xlabel('$\\Delta / \\Omega$', fontsize=18)\n",
    "\n",
    "ax2 = ax1.twinx()\n",
    "ax2.plot(delta_Omega, var_ryd_pop_per_param, marker='o', c='C8')\n",
    "ax2.set_ylabel('Var($n$)', color = 'C8',rotation = 270, labelpad = 30, fontsize=16)\n",
    "ax2.tick_params(axis='y',labelcolor = 'C8')\n",
    "\n",
    "plt.subplots_adjust(left=0.15, right=0.8, top=0.95, bottom=0.17)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
